diff --git a/components/retriever/milvus/README.md b/components/retriever/milvus/README.md index 19692ca7a..08cd4545c 100644 --- a/components/retriever/milvus/README.md +++ b/components/retriever/milvus/README.md @@ -2,20 +2,16 @@ English | [简体中文](README_zh.md) -An Milvus 2.x retriever implementation for [Eino](https://github.com/cloudwego/eino) that implements the `Retriever` -interface. This enables seamless integration -with Eino's vector storage and retrieval system for enhanced semantic search capabilities. - ## Quick Start ### Installation ```bash -go get github.com/milvus-io/milvus-sdk-go/v2@2.4.2 -go get github.com/cloudwego/eino-ext/retriever/milvus@latest +go get github.com/milvus-io/milvus/client/v2 +go get github.com/cloudwego/eino-ext/components/retriever/milvus ``` -### Create the Milvus Retriever +### Example ```go package main @@ -24,120 +20,108 @@ import ( "context" "fmt" "log" - "os" - - "github.com/cloudwego/eino-ext/components/embedding/ark" - "github.com/milvus-io/milvus-sdk-go/v2/client" "github.com/cloudwego/eino-ext/components/retriever/milvus" + "github.com/cloudwego/eino/components/embedding" + "github.com/milvus-io/milvus/client/v2/milvusclient" ) func main() { - // Get the environment variables - addr := os.Getenv("MILVUS_ADDR") - username := os.Getenv("MILVUS_USERNAME") - password := os.Getenv("MILVUS_PASSWORD") - arkApiKey := os.Getenv("ARK_API_KEY") - arkModel := os.Getenv("ARK_MODEL") - - // Create a client - ctx := context.Background() - cli, err := client.NewClient(ctx, client.Config{ - Address: addr, - Username: username, - Password: password, + // Create Milvus client + client, err := milvusclient.New(context.Background(), &milvusclient.ClientConfig{ + Address: "localhost:19530", }) if err != nil { - log.Fatalf("Failed to create client: %v", err) - return + log.Fatal(err) } - defer cli.Close() + defer client.Close(context.Background()) - // Create an embedding model - emb, err := ark.NewEmbedder(ctx, &ark.EmbeddingConfig{ - APIKey: arkApiKey, - Model: arkModel, + // Create embedding model (example using a hypothetical embedding service) + embeddingModel := embedding.NewOpenAIEmbedding(&embedding.OpenAIConfig{ + APIKey: "your-api-key", + Model: "text-embedding-ada-002", }) - // Create a retriever - retriever, err := milvus.NewRetriever(ctx, &milvus.RetrieverConfig{ - Client: cli, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: []string{ - "id", - "content", - "metadata", - }, - DocumentConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 5, - Sp: nil, - Embedding: emb, + // Create Milvus retriever + retriever, err := milvus.NewRetriever(&milvus.RetrieverConfig{ + Client: client, + Collection: "my_documents", + TopK: 10, + Embedding: embeddingModel, }) if err != nil { - log.Fatalf("Failed to create retriever: %v", err) - return + log.Fatal(err) } - // Retrieve documents - documents, err := retriever.Retrieve(ctx, "milvus") + // Perform semantic search + docs, err := retriever.Retrieve(context.Background(), "What is machine learning?") if err != nil { - log.Fatalf("Failed to retrieve: %v", err) - return + log.Fatal(err) } - - // Print the documents - for i, doc := range documents { - fmt.Printf("Document %d:\n", i) - fmt.Printf("title: %s\n", doc.ID) - fmt.Printf("content: %s\n", doc.Content) - fmt.Printf("metadata: %v\n", doc.MetaData) + + // Process results + for i, doc := range docs { + fmt.Printf("Document %d: %s\n", i+1, doc.PageContent) + fmt.Printf("Score: %v\n", doc.MetaData["score"]) + fmt.Println("---") } } ``` ## Configuration +### RetrieverConfig + +| Parameter | Type | Required/Optional | Default | Description | +|-----------|------|-------------------|---------|-------------| +| `Client` | `*milvusclient.Client` | **Required** | - | Milvus client instance for database operations | +| `Collection` | `string` | Optional | `"eino_collection"` | Milvus collection name to search in | +| `TopK` | `int` | Optional | `5` | Maximum number of documents to retrieve | +| `Embedding` | `embedding.Embedder` | Optional | `nil` | Embedder for converting text queries to vectors | +| `DocumentConverter` | `DocumentConverter` | Optional | Default converter | Converts Milvus search results to schema.Document objects | +| `VectorConverter` | `VectorConverter` | Optional | Default converter | Converts float64 vectors to Milvus entity.Vector format | + +### Search Options + +The retriever supports various search options that can be passed to the `Retrieve` method: + +#### WithLimit + ```go -type RetrieverConfig struct { - // Client is the milvus client to be called - // Required - Client client.Client - - // Default Retriever config - // Collection is the collection name in the milvus database - // Optional, and the default value is "eino_collection" - Collection string - // Partition is the collection partition name - // Optional, and the default value is empty - Partition []string - // VectorField is the vector field name in the collection - // Optional, and the default value is "vector" - VectorField string - // OutputFields is the fields to be returned - // Optional, and the default value is empty - OutputFields []string - // DocumentConverter is the function to convert the search result to s.Document - // Optional, and the default value is defaultDocumentConverter - DocumentConverter func(ctx context.Context, doc client.SearchResult) ([]*s.Document, error) - // MetricType is the metric type for vector - // Optional, and the default value is "HAMMING" - MetricType entity.MetricType - // TopK is the top k results to be returned - // Optional, and the default value is 5 - TopK int - // ScoreThreshold is the threshold for the search result - // Optional, and the default value is 0 - ScoreThreshold float64 - // SearchParams - // Optional, and the default value is entity.IndexAUTOINDEXSearchParam, and the level is 1 - Sp entity.SearchParam - - // Embedding is the embedding vectorization method for values needs to be embedded from s.Document's content. - // Required - Embedding embedding.Embedder -} -``` \ No newline at end of file +// Override the TopK value for a specific search +docs, err := retriever.Retrieve(ctx, "query", milvus.WithLimit(20)) +``` + +#### WithHybridSearchOption + +```go +// Use hybrid search for more complex scenarios +hybridSearch := milvus.NewHybridSearchOption("vector_field", 10). + WithFilter("category == 'technology'"). + WithOffset(5) + +docs, err := retriever.Retrieve(ctx, "query", milvus.WithHybridSearchOption(hybridSearch)) +``` + +### Hybrid Search Configuration + +The `HybridSearch` type provides advanced search capabilities: + +| Method | Description | Required/Optional | +|--------|-------------|-------------------| +| `WithANNSField(field)` | Set vector field name | Optional | +| `WithFilter(expr)` | Add boolean filter expression | Optional | +| `WithGroupByField(field)` | Group results by field | Optional | +| `WithGroupSize(size)` | Set group size | Optional | +| `WithStrictGroupSize(strict)` | Enforce strict group size | Optional | +| `WithSearchParam(key, value)` | Add search parameters | Optional | +| `WithAnnParam(param)` | Set ANN parameters | Optional | +| `WithOffset(offset)` | Skip results | Optional | +| `WithIgnoreGrowing(ignore)` | Ignore growing segments | Optional | +| `WithTemplateParam(key, val)` | Add template parameters | Optional | + +## Vector Dimension Calculation + +When working with Milvus, you need to ensure that your vector dimensions match the collection schema. The dimension depends on your embedding model. + +For more information about vector dimensions and collection setup, refer to the [Milvus official documentation](https://milvus.io/docs). \ No newline at end of file diff --git a/components/retriever/milvus/README_zh.md b/components/retriever/milvus/README_zh.md index dd2effe91..102fc58f2 100644 --- a/components/retriever/milvus/README_zh.md +++ b/components/retriever/milvus/README_zh.md @@ -1,21 +1,17 @@ -# Milvus 搜索 +# Milvus 检索器 -[English](README.md) | [简体中文](README_zh.md) - -基于 Milvus 2.x 的向量搜索实现，为 [Eino](https://github.com/cloudwego/eino) 提供了符合 `Retriever` 接口的存储方案。该组件可无缝集成 -Eino 的向量存储和检索系统，增强语义搜索能力。 +[English](README.md) | 简体中文 ## 快速开始 ### 安装 -它需要 milvus-sdk-go 客户端版本 2.4.x - ```bash -go get github.com/eino-project/eino/retriever/milvus@latest +go get github.com/milvus-io/milvus/client/v2 +go get github.com/cloudwego/eino-ext/components/retriever/milvus ``` -### 创建 Milvus 搜索 +### 示例 ```go package main @@ -24,120 +20,108 @@ import ( "context" "fmt" "log" - "os" - - "github.com/cloudwego/eino-ext/components/embedding/ark" - "github.com/milvus-io/milvus-sdk-go/v2/client" - + "github.com/cloudwego/eino-ext/components/retriever/milvus" + "github.com/cloudwego/eino/components/embedding" + "github.com/milvus-io/milvus/client/v2/milvusclient" ) func main() { - // Get the environment variables - addr := os.Getenv("MILVUS_ADDR") - username := os.Getenv("MILVUS_USERNAME") - password := os.Getenv("MILVUS_PASSWORD") - arkApiKey := os.Getenv("ARK_API_KEY") - arkModel := os.Getenv("ARK_MODEL") - - // Create a client - ctx := context.Background() - cli, err := client.NewClient(ctx, client.Config{ - Address: addr, - Username: username, - Password: password, + // 创建 Milvus 客户端 + client, err := milvusclient.New(context.Background(), &milvusclient.ClientConfig{ + Address: "localhost:19530", }) if err != nil { - log.Fatalf("Failed to create client: %v", err) - return + log.Fatal(err) } - defer cli.Close() - - // Create an embedding model - emb, err := ark.NewEmbedder(ctx, &ark.EmbeddingConfig{ - APIKey: arkApiKey, - Model: arkModel, + defer client.Close(context.Background()) + + // 创建嵌入模型（示例使用假设的嵌入服务） + embeddingModel := embedding.NewOpenAIEmbedding(&embedding.OpenAIConfig{ + APIKey: "your-api-key", + Model: "text-embedding-ada-002", }) - - // Create a retriever - retriever, err := milvus.NewRetriever(ctx, &milvus.RetrieverConfig{ - Client: cli, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: []string{ - "id", - "content", - "metadata", - }, - DocumentConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 5, - Sp: nil, - Embedding: emb, + + // 创建 Milvus 检索器 + retriever, err := milvus.NewRetriever(&milvus.RetrieverConfig{ + Client: client, + Collection: "my_documents", + TopK: 10, + Embedding: embeddingModel, }) if err != nil { - log.Fatalf("Failed to create retriever: %v", err) - return + log.Fatal(err) } - - // Retrieve documents - documents, err := retriever.Retrieve(ctx, "milvus") + + // 执行语义搜索 + docs, err := retriever.Retrieve(context.Background(), "什么是机器学习？") if err != nil { - log.Fatalf("Failed to retrieve: %v", err) - return + log.Fatal(err) } - - // Print the documents - for i, doc := range documents { - fmt.Printf("Document %d:\n", i) - fmt.Printf("title: %s\n", doc.ID) - fmt.Printf("content: %s\n", doc.Content) - fmt.Printf("metadata: %v\n", doc.MetaData) + + // 处理结果 + for i, doc := range docs { + fmt.Printf("文档 %d: %s\n", i+1, doc.PageContent) + fmt.Printf("相似度分数: %v\n", doc.MetaData["score"]) + fmt.Println("---") } } ``` -## 配置 +## 配置说明 + +### RetrieverConfig + +| 参数 | 类型 | 必填/可选 | 默认值 | 描述 | +|------|------|-----------|--------|------| +| `Client` | `*milvusclient.Client` | **必填** | - | 用于数据库操作的 Milvus 客户端实例 | +| `Collection` | `string` | 可选 | `"eino_collection"` | 要搜索的 Milvus 集合名称 | +| `TopK` | `int` | 可选 | `5` | 要检索的文档最大数量 | +| `Embedding` | `embedding.Embedder` | 可选 | `nil` | 用于将文本查询转换为向量的嵌入器 | +| `DocumentConverter` | `DocumentConverter` | 可选 | 默认转换器 | 将 Milvus 搜索结果转换为 schema.Document 对象 | +| `VectorConverter` | `VectorConverter` | 可选 | 默认转换器 | 将 float64 向量转换为 Milvus entity.Vector 格式 | + +### 搜索选项 + +检索器支持多种搜索选项，可以传递给 `Retrieve` 方法： + +#### WithLimit ```go -type RetrieverConfig struct { - // Client 是要调用的 milvus 客户端 - // 必需 - Client client.Client - - // Retriever 通用配置 - // Collection 是 milvus 数据库中的集合名称 - // 可选，默认值为 "eino_collection" - Collection string - // Partition 是集合的分区名称 - // 可选，默认值为空 - Partition []string - // VectorField 是集合中的向量字段名称 - // 可选，默认值为 "vector" - VectorField string - // OutputFields 是要返回的字段 - // 可选，默认值为空 - OutputFields []string - // DocumentConverter 是将搜索结果转换为 s.Document 的函数 - // 可选，默认值为 defaultDocumentConverter - DocumentConverter func(ctx context.Context, doc client.SearchResult) ([]*s.Document, error) - // MetricType 是向量的度量类型 - // 可选，默认值为 "HAMMING" - MetricType entity.MetricType - // TopK 是要返回的前 k 个结果 - // 可选，默认值为 5 - TopK int - // ScoreThreshold 是搜索结果的阈值 - // 可选，默认值为 0 - ScoreThreshold float64 - // SearchParams - // 可选，默认值为 entity.IndexAUTOINDEXSearchParam，级别为 1 - Sp entity.SearchParam - - // Embedding 是从 s.Document 的内容中嵌入需要嵌入的值的方法 - // 必需的 - Embedding embedding.Embedder -} -``` \ No newline at end of file +// 为特定搜索覆盖 TopK 值 +docs, err := retriever.Retrieve(ctx, "查询", milvus.WithLimit(20)) +``` + +#### WithHybridSearchOption + +```go +// 使用混合搜索处理更复杂的场景 +hybridSearch := milvus.NewHybridSearchOption("vector_field", 10). + WithFilter("category == 'technology'"). + WithOffset(5) + +docs, err := retriever.Retrieve(ctx, "查询", milvus.WithHybridSearchOption(hybridSearch)) +``` + +### 混合搜索配置 + +`HybridSearch` 类型提供高级搜索功能： + +| 方法 | 描述 | 必填/可选 | +|------|------|----------| +| `WithANNSField(field)` | 设置向量字段名称 | 可选 | +| `WithFilter(expr)` | 添加布尔过滤表达式 | 可选 | +| `WithGroupByField(field)` | 按字段分组结果 | 可选 | +| `WithGroupSize(size)` | 设置分组大小 | 可选 | +| `WithStrictGroupSize(strict)` | 强制严格分组大小 | 可选 | +| `WithSearchParam(key, value)` | 添加搜索参数 | 可选 | +| `WithAnnParam(param)` | 设置 ANN 参数 | 可选 | +| `WithOffset(offset)` | 跳过结果 | 可选 | +| `WithIgnoreGrowing(ignore)` | 忽略增长段 | 可选 | +| `WithTemplateParam(key, val)` | 添加模板参数 | 可选 | + +## 向量维度计算 + +使用 Milvus 时，需要确保向量维度与集合模式匹配。维度取决于您的嵌入模型。 + +有关向量维度和集合设置的更多信息，请参考 [Milvus 官方文档](https://milvus.io/docs)。 \ No newline at end of file diff --git a/components/retriever/milvus/config.go b/components/retriever/milvus/config.go new file mode 100644 index 000000000..5e4f04a7a --- /dev/null +++ b/components/retriever/milvus/config.go @@ -0,0 +1,70 @@ +/* + * Copyright 2025 CloudWeGo Authors + * + * Licensed undeh the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless hequired by applicable law oh agreed to in writing, software + * distributed undeh the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eitheh express oh implied. + * See the License foh the specific language governing permissions and + * limitations undeh the License. + */ + +package milvus + +import ( + "fmt" + + "github.com/cloudwego/eino/components/embedding" + "github.com/milvus-io/milvus/client/v2/milvusclient" +) + +// RetrieverConfig defines the configuration for Milvus retriever +type RetrieverConfig struct { + // Client is the Milvus client instance for database operations + // Required: Must be a valid Milvus client connection + Client *milvusclient.Client + + // Collection specifies the Milvus collection name to search in + // Optional: Defaults to "eino_collection" if not specified + Collection string + + // TopK defines the maximum number of documents to retrieve + // Optional: Defaults to 10 if not specified or <= 0 + TopK int + + // Embedding is the embedder used to convert text queries to vectors + // Optional: Can be nil, but then must be provided via retriever options + Embedding embedding.Embedder + + // DocumentConverter converts Milvus search results to schema.Document objects + // Optional: Uses default converter if not specified + DocumentConverter DocumentConverter + + // VectorConverter converts float64 vectors to Milvus entity.Vector format + // Optional: Uses default converter if not specified + VectorConverter VectorConverter +} + +func (c *RetrieverConfig) validate() error { + if c.Client == nil { + return fmt.Errorf("[Retriever.RetrieverConfig] milvus client is nil") + } + if c.Collection == "" { + c.Collection = defaultCollection + } + if c.TopK <= 0 { + c.TopK = defaultTopK + } + if c.DocumentConverter == nil { + c.DocumentConverter = getDefaultDocumentConverter() + } + if c.VectorConverter == nil { + c.VectorConverter = getDefaultVectorConverter() + } + return nil +} diff --git a/components/retriever/milvus/consts.go b/components/retriever/milvus/consts.go index 39ac92406..008331713 100644 --- a/components/retriever/milvus/consts.go +++ b/components/retriever/milvus/consts.go @@ -16,17 +16,8 @@ package milvus -import "github.com/milvus-io/milvus-sdk-go/v2/entity" - const ( - typ = "Milvus" - defaultCollection = "eino_collection" - defaultVectorField = "vector" - defaultTopK = 5 - defaultAutoIndexLevel = 1 - defaultLoadedProgress = 100 - - defaultMetricType = entity.HAMMING - - typeParamDim = "dim" + typ = "Milvus" + defaultCollection = "eino_collection" + defaultTopK = 5 ) diff --git a/components/retriever/milvus/converter.go b/components/retriever/milvus/converter.go new file mode 100644 index 000000000..24a0b2d4e --- /dev/null +++ b/components/retriever/milvus/converter.go @@ -0,0 +1,79 @@ +/* + * Copyright 2025 CloudWeGo Authors + * + * Licensed undeh the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless hequired by applicable law oh agreed to in writing, software + * distributed undeh the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eitheh express oh implied. + * See the License foh the specific language governing permissions and + * limitations undeh the License. + */ + +package milvus + +import ( + "strconv" + + "github.com/cloudwego/eino/schema" + "github.com/milvus-io/milvus/client/v2/entity" + "github.com/milvus-io/milvus/client/v2/milvusclient" +) + +// VectorConverter defines a function type that converts float64 vectors to Milvus entity.Vector format +// This is used to transform embedding vectors into the format required by Milvus search operations +type VectorConverter func(vectors [][]float64) ([]entity.Vector, error) + +// DocumentConverter defines a function type that converts Milvus search results to schema.Document objects +// This is used to transform Milvus ResultSet into the standard document format used by the retriever +type DocumentConverter func(result []milvusclient.ResultSet) ([]*schema.Document, error) + +// getDefaultVectorConverter returns the default vector converter implementation +// It converts float64 vectors to FloatVector entities compatible with Milvus +func getDefaultVectorConverter() VectorConverter { + return func(vectors [][]float64) ([]entity.Vector, error) { + if len(vectors) == 0 { + return nil, nil + } + vecs := make([]entity.Vector, len(vectors)) + for i, v := range vectors { + vecs[i] = entity.FloatVector(vector2Float32(v)) + } + return vecs, nil + } +} + +// getDefaultDocumentConverter returns the default document converter implementation +// It converts Milvus ResultSet to schema.Document objects with proper field mapping +func getDefaultDocumentConverter() DocumentConverter { + return func(result []milvusclient.ResultSet) ([]*schema.Document, error) { + var errs []error + if len(result) == 0 { + return nil, nil + } + docs := make([]*schema.Document, result[0].ResultCount) + if result[0].Fields.Len() >= 1 { + if err := result[0].Unmarshal(docs); err != nil { + return nil, err + } + } else { + for i := range docs { + id, err := result[0].IDs.Get(i) + if err != nil { + errs = append(errs, err) + } + docs[i] = &schema.Document{ + ID: strconv.FormatInt(id.(int64), 10), + MetaData: map[string]any{ + "score": result[0].Scores[i], + }, + } + } + } + return docs, nil + } +} diff --git a/components/retriever/milvus/converter_test.go b/components/retriever/milvus/converter_test.go new file mode 100644 index 000000000..95e5d9bb2 --- /dev/null +++ b/components/retriever/milvus/converter_test.go @@ -0,0 +1,94 @@ +/* + * Copyright 2025 CloudWeGo Authors + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package milvus + +import ( + "testing" + + "github.com/milvus-io/milvus/client/v2/milvusclient" + "github.com/smartystreets/goconvey/convey" +) + +func TestGetDefaultVectorConverter(t *testing.T) { + convey.Convey("test getDefaultVectorConverter", t, func() { + converter := getDefaultVectorConverter() + convey.So(converter, convey.ShouldNotBeNil) + + convey.Convey("test convert valid vectors", func() { + vectors := [][]float64{ + {0.1, 0.2, 0.3}, + {0.4, 0.5, 0.6}, + } + result, err := converter(vectors) + convey.So(err, convey.ShouldBeNil) + convey.So(result, convey.ShouldNotBeNil) + convey.So(len(result), convey.ShouldEqual, 2) + }) + + convey.Convey("test convert empty vectors", func() { + vectors := [][]float64{} + result, err := converter(vectors) + convey.So(err, convey.ShouldBeNil) + convey.So(result, convey.ShouldNotBeNil) + convey.So(len(result), convey.ShouldEqual, 0) + }) + + convey.Convey("test convert nil vectors", func() { + result, err := converter(nil) + convey.So(err, convey.ShouldBeNil) + convey.So(result, convey.ShouldNotBeNil) + convey.So(len(result), convey.ShouldEqual, 0) + }) + }) +} + +func TestGetDefaultDocumentConverter(t *testing.T) { + convey.Convey("test getDefaultDocumentConverter", t, func() { + converter := getDefaultDocumentConverter() + convey.So(converter, convey.ShouldNotBeNil) + + convey.Convey("test convert valid result sets", func() { + // Create simple ResultSet for testing + resultSets := []milvusclient.ResultSet{ + { + ResultCount: 0, // Empty result set + }, + } + result, err := converter(resultSets) + convey.So(err, convey.ShouldBeNil) + convey.So(result, convey.ShouldNotBeNil) + convey.So(len(result), convey.ShouldEqual, 0) + }) + + convey.Convey("test convert empty result sets", func() { + resultSets := []milvusclient.ResultSet{} + result, err := converter(resultSets) + convey.So(err, convey.ShouldBeNil) + convey.So(result, convey.ShouldNotBeNil) + convey.So(len(result), convey.ShouldEqual, 0) + }) + + convey.Convey("test convert nil result sets", func() { + result, err := converter(nil) + convey.So(err, convey.ShouldBeNil) + convey.So(result, convey.ShouldNotBeNil) + convey.So(len(result), convey.ShouldEqual, 0) + }) + + + }) +} \ No newline at end of file diff --git a/components/retriever/milvus/examples/main.go b/components/retriever/milvus/examples/main.go index bde8815aa..9ac15669e 100644 --- a/components/retriever/milvus/examples/main.go +++ b/components/retriever/milvus/examples/main.go @@ -1,17 +1,17 @@ /* * Copyright 2025 CloudWeGo Authors * - * Licensed under the Apache License, Version 2.0 (the "License"); + * Licensed undeh the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. + * Unless hequired by applicable law oh agreed to in writing, software + * distributed undeh the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eitheh express oh implied. + * See the License foh the specific language governing permissions and + * limitations undeh the License. */ package main @@ -21,63 +21,42 @@ import ( "fmt" "log" "os" - + "github.com/bytedance/sonic" "github.com/cloudwego/eino/components/embedding" - "github.com/milvus-io/milvus-sdk-go/v2/client" - + "github.com/milvus-io/milvus/client/v2/milvusclient" + "github.com/cloudwego/eino-ext/components/retriever/milvus" ) func main() { - // Get the environment variables - addr := os.Getenv("MILVUS_ADDR") - username := os.Getenv("MILVUS_USERNAME") - password := os.Getenv("MILVUS_PASSWORD") - - // Create a client ctx := context.Background() - cli, err := client.NewClient(ctx, client.Config{ - Address: addr, - Username: username, - Password: password, + client, err := milvusclient.New(ctx, &milvusclient.ClientConfig{ + Address: os.Getenv("MILVUS_ADDR"), + APIKey: os.Getenv("MILVUS_API_KEY"), }) if err != nil { - log.Fatalf("Failed to create client: %v", err) + log.Fatal(err) return } - defer cli.Close() - - // Create a retriever - retriever, err := milvus.NewRetriever(ctx, &milvus.RetrieverConfig{ - Client: cli, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: []string{ - "id", - "content", - "metadata", - }, - DocumentConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 5, - Sp: nil, - Embedding: &mockEmbedding{}, + defer client.Close(ctx) + + retriever, err := milvus.NewRetriever(&milvus.RetrieverConfig{ + Client: client, + Embedding: &mockEmbedding{}, }) if err != nil { - log.Fatalf("Failed to create retriever: %v", err) + log.Fatal(err) return } - + // Retrieve documents documents, err := retriever.Retrieve(ctx, "milvus") if err != nil { log.Fatalf("Failed to retrieve: %v", err) return } - + // Print the documents for i, doc := range documents { fmt.Printf("Document %d:\n", i) diff --git a/components/retriever/milvus/go.mod b/components/retriever/milvus/go.mod index 47ac68d18..286792e69 100644 --- a/components/retriever/milvus/go.mod +++ b/components/retriever/milvus/go.mod @@ -1,66 +1,140 @@ module github.com/cloudwego/eino-ext/components/retriever/milvus -go 1.23.0 - +go 1.24.4 require ( - github.com/bytedance/mockey v1.2.12 - github.com/bytedance/sonic v1.13.2 - github.com/cloudwego/eino v0.3.27 - github.com/milvus-io/milvus-sdk-go/v2 v2.4.2 + github.com/bytedance/mockey v1.2.14 + github.com/bytedance/sonic v1.14.0 + github.com/cloudwego/eino v0.4.0 + github.com/milvus-io/milvus/client/v2 v2.5.5 github.com/smartystreets/goconvey v1.8.1 ) require ( - github.com/bytedance/sonic/loader v0.2.4 // indirect + github.com/beorn7/perks v1.0.1 // indirect + github.com/blang/semver/v4 v4.0.0 // indirect + github.com/bytedance/sonic/loader v0.3.0 // indirect + github.com/cenkalti/backoff/v4 v4.2.1 // indirect + github.com/cespare/xxhash/v2 v2.3.0 // indirect + github.com/cilium/ebpf v0.11.0 // indirect github.com/cloudwego/base64x v0.1.5 // indirect github.com/cockroachdb/errors v1.9.1 // indirect github.com/cockroachdb/logtags v0.0.0-20211118104740-dabe8e521a4f // indirect github.com/cockroachdb/redact v1.1.3 // indirect + github.com/containerd/cgroups/v3 v3.0.3 // indirect + github.com/coreos/go-semver v0.3.0 // indirect + github.com/coreos/go-systemd/v22 v22.3.2 // indirect + github.com/davecgh/go-spew v1.1.1 // indirect + github.com/docker/go-units v0.4.0 // indirect github.com/dustin/go-humanize v1.0.1 // indirect + github.com/form3tech-oss/jwt-go v3.2.3+incompatible // indirect github.com/getkin/kin-openapi v0.118.0 // indirect github.com/getsentry/sentry-go v0.12.0 // indirect - github.com/go-openapi/jsonpointer v0.19.5 // indirect - github.com/go-openapi/swag v0.19.5 // indirect + github.com/go-logr/logr v1.4.2 // indirect + github.com/go-logr/stdr v1.2.2 // indirect + github.com/go-ole/go-ole v1.2.6 // indirect + github.com/go-openapi/jsonpointer v0.19.6 // indirect + github.com/go-openapi/swag v0.22.3 // indirect + github.com/godbus/dbus/v5 v5.0.4 // indirect github.com/gogo/protobuf v1.3.2 // indirect github.com/golang/protobuf v1.5.4 // indirect + github.com/google/btree v1.1.2 // indirect + github.com/google/uuid v1.6.0 // indirect github.com/goph/emperror v0.17.2 // indirect github.com/gopherjs/gopherjs v1.17.2 // indirect + github.com/gorilla/websocket v1.4.2 // indirect github.com/grpc-ecosystem/go-grpc-middleware v1.3.0 // indirect + github.com/grpc-ecosystem/go-grpc-prometheus v1.2.0 // indirect + github.com/grpc-ecosystem/grpc-gateway v1.16.0 // indirect + github.com/grpc-ecosystem/grpc-gateway/v2 v2.16.0 // indirect github.com/invopop/yaml v0.1.0 // indirect + github.com/jonboulle/clockwork v0.2.2 // indirect github.com/josharian/intern v1.0.0 // indirect github.com/json-iterator/go v1.1.12 // indirect github.com/jtolds/gls v4.20.0+incompatible // indirect - github.com/klauspost/cpuid/v2 v2.0.9 // indirect - github.com/kr/pretty v0.3.0 // indirect + github.com/klauspost/cpuid/v2 v2.0.14 // indirect + github.com/kr/pretty v0.3.1 // indirect github.com/kr/text v0.2.0 // indirect + github.com/lufia/plan9stats v0.0.0-20211012122336-39d0f177ccd0 // indirect github.com/mailru/easyjson v0.7.7 // indirect - github.com/milvus-io/milvus-proto/go-api/v2 v2.4.10-0.20240819025435-512e3b98866a // indirect + github.com/matttproud/golang_protobuf_extensions v1.0.4 // indirect + github.com/milvus-io/milvus-proto/go-api/v2 v2.5.14 // indirect + github.com/milvus-io/milvus/pkg/v2 v2.5.7 // indirect github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect github.com/modern-go/reflect2 v1.0.2 // indirect github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826 // indirect github.com/nikolalohinski/gonja v1.5.3 // indirect + github.com/opencontainers/runtime-spec v1.0.2 // indirect + github.com/panjf2000/ants/v2 v2.11.3 // indirect github.com/pelletier/go-toml/v2 v2.0.9 // indirect github.com/perimeterx/marshmallow v1.1.4 // indirect github.com/pkg/errors v0.9.1 // indirect - github.com/rogpeppe/go-internal v1.8.1 // indirect + github.com/pmezard/go-difflib v1.0.0 // indirect + github.com/power-devops/perfstat v0.0.0-20210106213030-5aafc221ea8c // indirect + github.com/prometheus/client_golang v1.14.0 // indirect + github.com/prometheus/client_model v0.5.0 // indirect + github.com/prometheus/common v0.42.0 // indirect + github.com/prometheus/procfs v0.9.0 // indirect + github.com/rogpeppe/go-internal v1.12.0 // indirect + github.com/samber/lo v1.27.0 // indirect + github.com/shirou/gopsutil/v3 v3.22.9 // indirect github.com/sirupsen/logrus v1.9.3 // indirect github.com/slongfield/pyfmt v0.0.0-20220222012616-ea85ff4c361f // indirect github.com/smarty/assertions v1.15.0 // indirect - github.com/tidwall/gjson v1.14.4 // indirect + github.com/soheilhy/cmux v0.1.5 // indirect + github.com/spaolacci/murmur3 v1.1.0 // indirect + github.com/spf13/cast v1.3.1 // indirect + github.com/spf13/pflag v1.0.5 // indirect + github.com/stretchr/testify v1.10.0 // indirect + github.com/tidwall/gjson v1.17.1 // indirect github.com/tidwall/match v1.1.1 // indirect github.com/tidwall/pretty v1.2.0 // indirect + github.com/tklauser/go-sysconf v0.3.10 // indirect + github.com/tklauser/numcpus v0.4.0 // indirect + github.com/tmc/grpc-websocket-proxy v0.0.0-20201229170055-e5319fda7802 // indirect github.com/twitchyliquid64/golang-asm v0.15.1 // indirect + github.com/uber/jaeger-client-go v2.30.0+incompatible // indirect + github.com/x448/float16 v0.8.4 // indirect + github.com/xiang90/probing v0.0.0-20190116061207-43a291ad63a2 // indirect github.com/yargevad/filepathx v1.0.0 // indirect + github.com/yusufpapurcu/wmi v1.2.2 // indirect + go.etcd.io/bbolt v1.3.6 // indirect + go.etcd.io/etcd/api/v3 v3.5.5 // indirect + go.etcd.io/etcd/client/pkg/v3 v3.5.5 // indirect + go.etcd.io/etcd/client/v2 v2.305.5 // indirect + go.etcd.io/etcd/client/v3 v3.5.5 // indirect + go.etcd.io/etcd/pkg/v3 v3.5.5 // indirect + go.etcd.io/etcd/raft/v3 v3.5.5 // indirect + go.etcd.io/etcd/server/v3 v3.5.5 // indirect + go.opentelemetry.io/contrib/instrumentation/google.golang.org/grpc/otelgrpc v0.49.0 // indirect + go.opentelemetry.io/otel v1.28.0 // indirect + go.opentelemetry.io/otel/exporters/otlp/otlptrace v1.20.0 // indirect + go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc v1.20.0 // indirect + go.opentelemetry.io/otel/metric v1.28.0 // indirect + go.opentelemetry.io/otel/sdk v1.28.0 // indirect + go.opentelemetry.io/otel/trace v1.28.0 // indirect + go.opentelemetry.io/proto/otlp v1.0.0 // indirect + go.uber.org/atomic v1.11.0 // indirect + go.uber.org/automaxprocs v1.5.3 // indirect + go.uber.org/multierr v1.11.0 // indirect + go.uber.org/zap v1.27.0 // indirect golang.org/x/arch v0.11.0 // indirect - golang.org/x/exp v0.0.0-20230713183714-613f0c0eb8a1 // indirect - golang.org/x/net v0.41.0 // indirect - golang.org/x/sync v0.15.0 // indirect - golang.org/x/sys v0.33.0 // indirect - golang.org/x/text v0.26.0 // indirect - google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1 // indirect - google.golang.org/grpc v1.73.0 // indirect - google.golang.org/protobuf v1.36.6 // indirect + golang.org/x/crypto v0.36.0 // indirect + golang.org/x/exp v0.0.0-20240506185415-9bf2ced13842 // indirect + golang.org/x/net v0.38.0 // indirect + golang.org/x/sync v0.12.0 // indirect + golang.org/x/sys v0.31.0 // indirect + golang.org/x/text v0.23.0 // indirect + golang.org/x/time v0.5.0 // indirect + google.golang.org/genproto v0.0.0-20231106174013-bbf56f31fb17 // indirect + google.golang.org/genproto/googleapis/api v0.0.0-20240528184218-531527333157 // indirect + google.golang.org/genproto/googleapis/rpc v0.0.0-20240730163845-b1a4ccb954bf // indirect + google.golang.org/grpc v1.65.0 // indirect + google.golang.org/protobuf v1.34.2 // indirect + gopkg.in/inf.v0 v0.9.1 // indirect + gopkg.in/natefinch/lumberjack.v2 v2.0.0 // indirect gopkg.in/yaml.v2 v2.4.0 // indirect gopkg.in/yaml.v3 v3.0.1 // indirect + k8s.io/apimachinery v0.28.6 // indirect + sigs.k8s.io/yaml v1.3.0 // indirect ) diff --git a/components/retriever/milvus/go.sum b/components/retriever/milvus/go.sum index 1c1dcae8c..188fdea84 100644 --- a/components/retriever/milvus/go.sum +++ b/components/retriever/milvus/go.sum @@ -1,53 +1,119 @@ cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= +cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwredwwASm/v6AU= +cloud.google.com/go v0.44.2/go.mod h1:60680Gw3Yr4ikxnPRS/oxxkBccT6SA1yMk63TGekxKY= +cloud.google.com/go v0.45.1/go.mod h1:RpBamKRgapWJb87xiFSdk4g1CME7QZg3uwTez+TSTjc= +cloud.google.com/go v0.46.3/go.mod h1:a6bKKbmY7er1mI7TEI4lsAkts/mkhTSZK8w33B4RAg0= +cloud.google.com/go/bigquery v1.0.1/go.mod h1:i/xbL2UlR5RvWAURpBYZTtm/cXjCha9lbfbpx4poX+o= +cloud.google.com/go/datastore v1.0.0/go.mod h1:LXYbyblFSglQ5pkeyhO+Qmw7ukd3C+pD7TKLgZqpHYE= +cloud.google.com/go/firestore v1.1.0/go.mod h1:ulACoGHTpvq5r8rxGJ4ddJZBZqakUQqClKRT5SZwBmk= +cloud.google.com/go/pubsub v1.0.1/go.mod h1:R0Gpsv3s54REJCy4fxDixWD93lHJMoZTyQ2kNxGRt3I= +cloud.google.com/go/storage v1.0.0/go.mod h1:IhtSnM/ZTZV8YYJWCY8RULGVqBDmpoyjwiyrjsg+URw= +dmitri.shuralyov.com/gpu/mtl v0.0.0-20190408044501-666a987793e9/go.mod h1:H6x//7gZCb22OMCxBHrMx7a5I7Hp++hsVxbQ4BYO7hU= github.com/AndreasBriese/bbloom v0.0.0-20190306092124-e2d15f34fcf9/go.mod h1:bOvUY6CB00SOBii9/FifXqc0awNKxLFCL/+pkDPuyl8= github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU= +github.com/BurntSushi/toml v1.2.1 h1:9F2/+DoOYIOksmaJFPw1tGFy1eDnIJXg+UHjuD8lTak= +github.com/BurntSushi/toml v1.2.1/go.mod h1:CxXYINrC8qIiEnFrOxCa7Jy5BFHlXnUU2pbicEuybxQ= +github.com/BurntSushi/xgb v0.0.0-20160522181843-27f122750802/go.mod h1:IVnqGOEym/WlBOVXweHU+Q+/VP0lqqI8lqeDx9IjBqo= github.com/CloudyKit/fastprinter v0.0.0-20200109182630-33d98a066a53/go.mod h1:+3IMCy2vIlbG1XG/0ggNQv0SvxCAIpPM5b1nCz56Xno= github.com/CloudyKit/jet/v3 v3.0.0/go.mod h1:HKQPgSJmdK8hdoAbKUUWajkHyHo4RaU5rMdUywE7VMo= github.com/Joker/hpp v1.0.0/go.mod h1:8x5n+M1Hp5hC0g8okX3sR3vFQwynaX/UgSOM9MeBKzY= +github.com/OneOfOne/xxhash v1.2.2/go.mod h1:HSdplMjZKSmBqAxg5vPj2TmRDmfkzw+cTzAElWljhcU= github.com/Shopify/goreferrer v0.0.0-20181106222321-ec9c9a553398/go.mod h1:a1uqRtAwp2Xwc6WNPJEufxJ7fx3npB4UV/JOLmbu5I0= github.com/airbrake/gobrake v3.6.1+incompatible/go.mod h1:wM4gu3Cn0W0K7GUuVWnlXZU11AGBXMILnrdOU8Kn00o= github.com/ajg/form v1.5.1/go.mod h1:uL1WgH+h2mgNtvBq0339dVnzXdBETtL2LeUXaIv25UY= +github.com/alecthomas/template v0.0.0-20160405071501-a0175ee3bccc/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc= +github.com/alecthomas/template v0.0.0-20190718012654-fb15b899a751/go.mod h1:LOuyumcjzFXgccqObfd/Ljyb9UuFJ6TxHnclSeseNhc= +github.com/alecthomas/units v0.0.0-20151022065526-2efee857e7cf/go.mod h1:ybxpYRFXyAe+OPACYpWeL0wqObRcbAqCMya13uyzqw0= +github.com/alecthomas/units v0.0.0-20190717042225-c3de453c63f4/go.mod h1:ybxpYRFXyAe+OPACYpWeL0wqObRcbAqCMya13uyzqw0= +github.com/alecthomas/units v0.0.0-20190924025748-f65c72e2690d/go.mod h1:rBZYJk541a8SKzHPHnH3zbiI+7dagKZ0cgpgrD7Fyho= +github.com/antihax/optional 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h1:U3l9uK9J0sini8mHphKoXyaqDA/8VyGnDee1zzIUK6k= +google.golang.org/grpc v1.65.0 h1:bs/cUb4lp1G5iImFFd3u5ixQzweKizoZJAwBNLR42lc= +google.golang.org/grpc v1.65.0/go.mod h1:WgYC2ypjlB0EiQi6wdKixMqukr6lBc0Vo+oOgjrM5ZQ= google.golang.org/protobuf v0.0.0-20200109180630-ec00e32a8dfd/go.mod h1:DFci5gLYBciE7Vtevhsrf46CRTquxDuWsQurQQe4oz8= google.golang.org/protobuf v0.0.0-20200221191635-4d8936d0db64/go.mod h1:kwYJMbMJ01Woi6D6+Kah6886xMZcty6N08ah7+eCXa0= google.golang.org/protobuf v0.0.0-20200228230310-ab0ca4ff8a60/go.mod h1:cfTl7dwQJ+fmap5saPgwCLgHXTUD7jkjRqWcaiX5VyM= @@ -487,22 +892,36 @@ google.golang.org/protobuf v1.23.1-0.20200526195155-81db48ad09cc/go.mod h1:EGpAD google.golang.org/protobuf v1.25.0/go.mod h1:9JNX74DMeImyA3h4bdi1ymwjUzf21/xIlbajtzgsN7c= google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp09yW+WbY/TyQbw= google.golang.org/protobuf v1.26.0/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQnmE0givc= -google.golang.org/protobuf v1.36.6 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h1:Hei/4ADfdWqJk1ZMxUNpqntNwaWcugrBjAiHlqqRiVk= +gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c/go.mod h1:JHkPIbrfpd72SG/EVd6muEfDQjcINNoR0C8j2r3qZ4Q= gopkg.in/errgo.v2 v2.1.0/go.mod h1:hNsd1EY+bozCKY1Ytp96fpM3vjJbqLJn88ws8XvfDNI= gopkg.in/fsnotify.v1 v1.4.7/go.mod h1:Tz8NjZHkW78fSQdbUxIjBTcgA1z1m8ZHf0WmKUhAMys= gopkg.in/go-playground/assert.v1 v1.2.1/go.mod h1:9RXL0bg/zibRAgZUYszZSwO/z8Y/a8bDuhia5mkpMnE= gopkg.in/go-playground/validator.v8 v8.18.2/go.mod h1:RX2a/7Ha8BgOhfk7j780h4/u/RRjR0eouCJSH80/M2Y= +gopkg.in/inf.v0 v0.9.1 h1:73M5CoZyi3ZLMOyDlQh031Cx6N9NDJ2Vvfl76EDAgDc= +gopkg.in/inf.v0 v0.9.1/go.mod h1:cWUDdTG/fYaXco+Dcufb5Vnc6Gp2YChqWtbxRZE0mXw= +gopkg.in/ini.v1 v1.51.0/go.mod h1:pNLf8WUiyNEtQjuu5G5vTm06TEv9tsIgeAvK8hOrP4k= gopkg.in/ini.v1 v1.51.1/go.mod h1:pNLf8WUiyNEtQjuu5G5vTm06TEv9tsIgeAvK8hOrP4k= gopkg.in/mgo.v2 v2.0.0-20180705113604-9856a29383ce/go.mod h1:yeKp02qBN3iKW1OzL3MGk2IdtZzaj7SFntXj72NppTA= +gopkg.in/natefinch/lumberjack.v2 v2.0.0 h1:1Lc07Kr7qY4U2YPouBjpCLxpiyxIVoxqXgkXLknAOE8= +gopkg.in/natefinch/lumberjack.v2 v2.0.0/go.mod h1:l0ndWWf7gzL7RNwBG7wST/UCcT4T24xpD6X8LsfU/+k= +gopkg.in/resty.v1 v1.12.0/go.mod h1:mDo4pnntr5jdWRML875a/NmxYqAlA73dVijT2AXvQQo= gopkg.in/tomb.v1 v1.0.0-20141024135613-dd632973f1e7/go.mod h1:dt/ZhP58zS4L8KSrWDmTeBkI65Dw0HsyUHuEVlX15mw= +gopkg.in/yaml.v2 v2.0.0-20170812160011-eb3733d160e7/go.mod h1:JAlM8MvJe8wmxCU4Bli9HhUf9+ttbYbLASfIpnQbh74= gopkg.in/yaml.v2 v2.2.1/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= gopkg.in/yaml.v2 v2.2.2/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= +gopkg.in/yaml.v2 v2.2.3/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= gopkg.in/yaml.v2 v2.2.4/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= +gopkg.in/yaml.v2 v2.2.5/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= +gopkg.in/yaml.v2 v2.2.8/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= +gopkg.in/yaml.v2 v2.3.0/go.mod h1:hI93XBmqTisBFMUTm0b8Fm+jr3Dg1NNxqwp+5A1VGuI= gopkg.in/yaml.v2 v2.4.0 h1:D8xgwECY7CYvx+Y2n4sBz93Jn9JRvxdiyyo8CTfuKaY= gopkg.in/yaml.v2 v2.4.0/go.mod h1:RDklbk79AGWmwhnvt/jBztapEOGDOx6ZbXqjP6csGnQ= gopkg.in/yaml.v3 v3.0.0-20191120175047-4206685974f2/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= @@ -512,5 +931,14 @@ gopkg.in/yaml.v3 v3.0.0/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA= gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM= honnef.co/go/tools v0.0.0-20190102054323-c2f93a96b099/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4= +honnef.co/go/tools v0.0.0-20190106161140-3f1c8253044a/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4= +honnef.co/go/tools v0.0.0-20190418001031-e561f6794a2a/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4= honnef.co/go/tools v0.0.0-20190523083050-ea95bdfd59fc/go.mod h1:rf3lG4BRIbNafJWhAfAdb/ePZxsR/4RtNHQocxwk9r4= +honnef.co/go/tools v0.0.1-2019.2.3/go.mod h1:a3bituU0lyd329TUQxRnasdCoJDkEUEAqEt0JzvZhAg= +k8s.io/apimachinery v0.28.6 h1:RsTeR4z6S07srPg6XYrwXpTJVMXsjPXn0ODakMytSW0= +k8s.io/apimachinery v0.28.6/go.mod h1:QFNX/kCl/EMT2WTSz8k4WLCv2XnkOLMaL8GAVRMdpsA= nullprogram.com/x/optparse v1.0.0/go.mod h1:KdyPE+Igbe0jQUrVfMqDMeJQIJZEuyV7pjYmp6pbG50= +rsc.io/binaryregexp v0.2.0/go.mod h1:qTv7/COck+e2FymRvadv62gMdZztPaShugOCi3I+8D8= +sigs.k8s.io/yaml v1.2.0/go.mod h1:yfXDCHCao9+ENCvLSE62v9VSji2MKu5jeNfTrofGhJc= +sigs.k8s.io/yaml v1.3.0 h1:a2VclLzOGrwOHDiV8EfBGhvjHvP46CtW5j6POvhYGGo= +sigs.k8s.io/yaml v1.3.0/go.mod h1:GeOyir5tyXNByN85N/dRIT9es5UQNerPYEKK56eTBm8= diff --git a/components/retriever/milvus/options.go b/components/retriever/milvus/options.go index f6221c5e7..7a996379d 100644 --- a/components/retriever/milvus/options.go +++ b/components/retriever/milvus/options.go @@ -1,46 +1,208 @@ /* * Copyright 2025 CloudWeGo Authors * - * Licensed under the Apache License, Version 2.0 (the "License"); + * Licensed undeh the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. + * Unless hequired by applicable law oh agreed to in writing, software + * distributed undeh the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eitheh express oh implied. + * See the License foh the specific language governing permissions and + * limitations undeh the License. */ package milvus import ( "github.com/cloudwego/eino/components/retriever" - "github.com/milvus-io/milvus-sdk-go/v2/client" + "github.com/milvus-io/milvus/client/v2/entity" + "github.com/milvus-io/milvus/client/v2/index" + "github.com/milvus-io/milvus/client/v2/milvusclient" ) +// ImplOptions contains Milvus-specific retrieval options type ImplOptions struct { - // Filter is the filter for the search - // Optional, and the default value is empty - // It's means the milvus search required param, and refer to https://milvus.io/docs/boolean.md - Filter string + // limit specifies the maximum number of results to return + // Optional: Uses RetrieverConfig.TopK if not specified + limit int + + // hybridSearch contains hybrid search configurations + // Optional: Uses regular search if not specified + hybridSearch []*HybridSearch +} - // SearchQueryOptFn is the function to set the search query option - // Optional, and the default value is nil - // It's means the milvus search extra search options, and refer to client.SearchQueryOptionFunc - SearchQueryOptFn func(option *client.SearchQueryOption) +// HybridSearch defines configuration for Milvus hybrid search operations +type HybridSearch struct { + // annField specifies the vector field name for ANN search + // Required: Must be a valid vector field in the collection + annField string + + // metricsType defines the distance metric for similarity calculation + // Optional: Defaults to collection's metric type if not specified + metricsType entity.MetricType + + // searchParam contains search-specific parameters + // Optional: Uses default search parameters if not specified + searchParam map[string]string + + // groupByField specifies the field to group results by + // Optional: No grouping if not specified + groupByField string + + // groupSize defines the maximum number of results per group + // Optional: Uses default group size if not specified + groupSize int + + // strictGroupSize enforces exact group size requirements + // Optional: Defaults to false if not specified + strictGroupSize bool + + // annParam contains ANN-specific parameters + // Optional: Uses default ANN parameters if not specified + annParam index.AnnParam + + // ignoreGrowing excludes growing segments from search + // Optional: Defaults to false if not specified + ignoreGrowing bool + + // expr defines the boolean filter expression + // Optional: No filtering if not specified + expr string + + // topK specifies the number of results for this search + // Optional: Uses limit parameter if not specified + topK int + + // offset specifies the number of results to skip + // Optional: Defaults to 0 if not specified + offset int + + // templateParams contains template parameters for expressions + // Optional: No template parameters if not specified + templateParams map[string]any } -func WithFilter(filter string) retriever.Option { - return retriever.WrapImplSpecificOptFn(func(o *ImplOptions) { - o.Filter = filter +// WithLimit sets the maximum number of documents to retrieve +// This overrides the TopK value from RetrieverConfig +func WithLimit(limit int) retriever.Option { + return retriever.WrapImplSpecificOptFn(func(opt *ImplOptions) { + opt.limit = limit }) } -func WithSearchQueryOptFn(f func(option *client.SearchQueryOption)) retriever.Option { +// WithHybridSearchOption enables hybrid search with the specified configurations +// Multiple hybrid search options can be provided for complex search scenarios +func WithHybridSearchOption(option ...*HybridSearch) retriever.Option { return retriever.WrapImplSpecificOptFn(func(o *ImplOptions) { - o.SearchQueryOptFn = f + o.hybridSearch = option }) } + +// NewHybridSearchOption creates a new hybrid search configuration +// annField: the vector field name to search against +// limit: the maximum number of results for this search +func NewHybridSearchOption(annField string, limit int) *HybridSearch { + return &HybridSearch{ + annField: annField, + topK: limit, + searchParam: make(map[string]string), + templateParams: make(map[string]any), + } +} + +// WithANNSField sets the vector field name for ANN search +// annsField: the name of the vector field in the collection +func (h *HybridSearch) WithANNSField(annsField string) *HybridSearch { + h.annField = annsField + return h +} + +// WithGroupByField sets the field to group search results by +// groupByField: the field name to use for grouping results +func (h *HybridSearch) WithGroupByField(groupByField string) *HybridSearch { + h.groupByField = groupByField + return h +} + +// WithGroupSize sets the maximum number of results per group +// groupSize: the maximum number of results to return for each group +func (h *HybridSearch) WithGroupSize(groupSize int) *HybridSearch { + h.groupSize = groupSize + return h +} + +// WithStrictGroupSize enforces exact group size requirements +// strictGroupSize: whether to enforce strict group size limits +func (h *HybridSearch) WithStrictGroupSize(strictGroupSize bool) *HybridSearch { + h.strictGroupSize = strictGroupSize + return h +} + +// WithSearchParam adds a search parameter for the hybrid search +// key: the parameter name, value: the parameter value +func (h *HybridSearch) WithSearchParam(key, value string) *HybridSearch { + h.searchParam[key] = value + return h +} + +// WithAnnParam sets the ANN parameters for the search +// ap: the ANN parameters to use for this search +func (h *HybridSearch) WithAnnParam(ap index.AnnParam) *HybridSearch { + h.annParam = ap + return h +} + +// WithFilter sets a boolean filter expression for the search +// expr: the boolean expression to filter search results +func (h *HybridSearch) WithFilter(expr string) *HybridSearch { + h.expr = expr + return h +} + +// WithTemplateParam adds a template parameter for expression evaluation +// key: the parameter name, val: the parameter value +func (h *HybridSearch) WithTemplateParam(key string, val any) *HybridSearch { + h.templateParams[key] = val + return h +} + +// WithOffset sets the number of results to skip +// offset: the number of results to skip from the beginning +func (h *HybridSearch) WithOffset(offset int) *HybridSearch { + h.offset = offset + return h +} + +// WithIgnoreGrowing excludes growing segments from the search +// ignoreGrowing: whether to ignore growing segments during search +func (h *HybridSearch) WithIgnoreGrowing(ignoreGrowing bool) *HybridSearch { + h.ignoreGrowing = ignoreGrowing + return h +} + +// getAnnRequest converts the HybridSearch configuration to a Milvus AnnRequest +// limit: the maximum number of results to return +// vectors: the query vectors for the search +func (h *HybridSearch) getAnnRequest(limit int, vectors []entity.Vector) *milvusclient.AnnRequest { + if h.topK <= 0 { + h.topK = limit + } + req := milvusclient.NewAnnRequest(h.annField, h.topK, vectors...). + WithFilter(h.expr). + WithAnnParam(h.annParam). + WithIgnoreGrowing(h.ignoreGrowing). + WithOffset(h.offset). + WithGroupByField(h.groupByField). + WithGroupSize(h.groupSize). + WithStrictGroupSize(h.strictGroupSize) + for k, v := range h.searchParam { + req.WithSearchParam(k, v) + } + for k, v := range h.templateParams { + req.WithTemplateParam(k, v) + } + return req +} diff --git a/components/retriever/milvus/options_test.go b/components/retriever/milvus/options_test.go new file mode 100644 index 000000000..2351a76fc --- /dev/null +++ b/components/retriever/milvus/options_test.go @@ -0,0 +1,184 @@ +/* + * Copyright 2025 CloudWeGo Authors + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package milvus + +import ( + "testing" + + "github.com/milvus-io/milvus/client/v2/entity" + "github.com/milvus-io/milvus/client/v2/index" + "github.com/smartystreets/goconvey/convey" +) + +func TestWithLimit(t *testing.T) { + convey.Convey("TestWithLimit", t, func() { + limitOpt := WithLimit(100) + convey.So(limitOpt, convey.ShouldNotBeNil) + }) +} + +func TestWithHybridSearchOption(t *testing.T) { + convey.Convey("TestWithHybridSearchOption", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + hybridOpt := WithHybridSearchOption(hybridSearch) + convey.So(hybridOpt, convey.ShouldNotBeNil) + }) +} + +func TestNewHybridSearchOption(t *testing.T) { + convey.Convey("TestNewHybridSearchOption", t, func() { + hybridSearch := NewHybridSearchOption("test_field", 20) + + convey.So(hybridSearch, convey.ShouldNotBeNil) + convey.So(hybridSearch.annField, convey.ShouldEqual, "test_field") + convey.So(hybridSearch.topK, convey.ShouldEqual, 20) + convey.So(hybridSearch.searchParam, convey.ShouldNotBeNil) + convey.So(hybridSearch.templateParams, convey.ShouldNotBeNil) + }) +} + +func TestHybridSearch_WithANNSField(t *testing.T) { + convey.Convey("TestHybridSearch_WithANNSField", t, func() { + hybridSearch := NewHybridSearchOption("original_field", 10) + result := hybridSearch.WithANNSField("new_field") + + convey.So(result, convey.ShouldEqual, hybridSearch) // Returns itself + convey.So(hybridSearch.annField, convey.ShouldEqual, "new_field") + }) +} + +func TestHybridSearch_WithGroupByField(t *testing.T) { + convey.Convey("TestHybridSearch_WithGroupByField", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithGroupByField("group_field") + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.groupByField, convey.ShouldEqual, "group_field") + }) +} + +func TestHybridSearch_WithGroupSize(t *testing.T) { + convey.Convey("TestHybridSearch_WithGroupSize", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithGroupSize(5) + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.groupSize, convey.ShouldEqual, 5) + }) +} + +func TestHybridSearch_WithStrictGroupSize(t *testing.T) { + convey.Convey("TestHybridSearch_WithStrictGroupSize", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithStrictGroupSize(true) + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.strictGroupSize, convey.ShouldEqual, true) + }) +} + +func TestHybridSearch_WithSearchParam(t *testing.T) { + convey.Convey("TestHybridSearch_WithSearchParam", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithSearchParam("nprobe", "16") + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.searchParam["nprobe"], convey.ShouldEqual, "16") + }) +} + +func TestHybridSearch_WithAnnParam(t *testing.T) { + convey.Convey("TestHybridSearch_WithAnnParam", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + // Create a simple AnnParam for testing + var annParam index.AnnParam + result := hybridSearch.WithAnnParam(annParam) + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.annParam, convey.ShouldEqual, annParam) + }) +} + +func TestHybridSearch_WithFilter(t *testing.T) { + convey.Convey("TestHybridSearch_WithFilter", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithFilter("id > 100") + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.expr, convey.ShouldEqual, "id > 100") + }) +} + +func TestHybridSearch_WithTemplateParam(t *testing.T) { + convey.Convey("TestHybridSearch_WithTemplateParam", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithTemplateParam("param1", "value1") + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.templateParams["param1"], convey.ShouldEqual, "value1") + }) +} + +func TestHybridSearch_WithOffset(t *testing.T) { + convey.Convey("TestHybridSearch_WithOffset", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithOffset(5) + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.offset, convey.ShouldEqual, 5) + }) +} + +func TestHybridSearch_WithIgnoreGrowing(t *testing.T) { + convey.Convey("TestHybridSearch_WithIgnoreGrowing", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 10) + result := hybridSearch.WithIgnoreGrowing(true) + + convey.So(result, convey.ShouldEqual, hybridSearch) + convey.So(hybridSearch.ignoreGrowing, convey.ShouldEqual, true) + }) +} + +func TestHybridSearch_getAnnRequest(t *testing.T) { + convey.Convey("TestHybridSearch_getAnnRequest", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 0) // topK is 0 + hybridSearch.WithFilter("id > 100") + hybridSearch.WithOffset(5) + hybridSearch.WithGroupByField("category") + hybridSearch.WithGroupSize(3) + hybridSearch.WithStrictGroupSize(true) + hybridSearch.WithIgnoreGrowing(true) + hybridSearch.WithSearchParam("nprobe", "16") + hybridSearch.WithTemplateParam("param1", "value1") + + vectors := []entity.Vector{entity.FloatVector([]float32{1.0, 2.0, 3.0})} + req := hybridSearch.getAnnRequest(10, vectors) + + convey.So(req, convey.ShouldNotBeNil) + convey.So(hybridSearch.topK, convey.ShouldEqual, 10) // Should be set to limit + }) + + convey.Convey("TestHybridSearch_getAnnRequest with existing topK", t, func() { + hybridSearch := NewHybridSearchOption("vector_field", 5) // topK is 5 + + vectors := []entity.Vector{entity.FloatVector([]float32{1.0, 2.0, 3.0})} + req := hybridSearch.getAnnRequest(10, vectors) + + convey.So(req, convey.ShouldNotBeNil) + convey.So(hybridSearch.topK, convey.ShouldEqual, 5) // Should keep original value + }) +} \ No newline at end of file diff --git a/components/retriever/milvus/retriever.go b/components/retriever/milvus/retriever.go index 31194fa6e..4426984e9 100644 --- a/components/retriever/milvus/retriever.go +++ b/components/retriever/milvus/retriever.go @@ -1,176 +1,61 @@ /* * Copyright 2025 CloudWeGo Authors * - * Licensed under the Apache License, Version 2.0 (the "License"); + * Licensed undeh the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. + * Unless hequired by applicable law oh agreed to in writing, software + * distributed undeh the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eitheh express oh implied. + * See the License foh the specific language governing permissions and + * limitations undeh the License. */ package milvus import ( "context" - "errors" "fmt" "github.com/cloudwego/eino/callbacks" "github.com/cloudwego/eino/components" - "github.com/cloudwego/eino/components/embedding" "github.com/cloudwego/eino/components/retriever" "github.com/cloudwego/eino/schema" - "github.com/milvus-io/milvus-sdk-go/v2/client" - "github.com/milvus-io/milvus-sdk-go/v2/entity" + "github.com/milvus-io/milvus/client/v2/milvusclient" ) -type RetrieverConfig struct { - // Client is the milvus client to be called - // It requires the milvus-sdk-go client of version 2.4.x - // Required - Client client.Client - - // Default Retriever config - // Collection is the collection name in the milvus database - // Optional, and the default value is "eino_collection" - Collection string - // Partition is the collection partition name - // Optional, and the default value is empty - Partition []string - // VectorField is the vector field name in the collection - // Optional, and the default value is "vector" - VectorField string - // OutputFields is the fields to be returned - // Optional, and the default value is empty - OutputFields []string - // DocumentConverter is the function to convert the search result to schema.Document - // Optional, and the default value is defaultDocumentConverter - DocumentConverter func(ctx context.Context, doc client.SearchResult) ([]*schema.Document, error) - // VectorConverter is the function to convert the vectors to entity.Vector - VectorConverter func(ctx context.Context, vectors [][]float64) ([]entity.Vector, error) - // MetricType is the metric type for vector - // Optional, and the default value is "HAMMING" - MetricType entity.MetricType - // TopK is the top k results to be returned - // Optional, and the default value is 5 - TopK int - // ScoreThreshold is the threshold for the search result - // Optional, and the default value is 0 - ScoreThreshold float64 - // SearchParams - // Optional, and the default value is entity.IndexAUTOINDEXSearchParam, and the level is 1 - Sp entity.SearchParam - - // Embedding is the embedding vectorization method for values needs to be embedded from schema.Document's content. - // Required - Embedding embedding.Embedder -} - +// Retriever implements the retriever.Retriever interface for Milvus vector database +// It provides semantic search capabilities using vector similarity type Retriever struct { - config RetrieverConfig -} - -func NewRetriever(ctx context.Context, config *RetrieverConfig) (*Retriever, error) { - if err := config.check(); err != nil { - return nil, err - } - - // pre-check for the milvus search config - // check the collection is existed - ok, err := config.Client.HasCollection(ctx, config.Collection) - if err != nil { - if errors.Is(err, client.ErrClientNotReady) { - return nil, fmt.Errorf("[NewRetriever] milvus client not ready: %w", err) - } - if errors.Is(err, client.ErrStatusNil) { - return nil, fmt.Errorf("[NewRetriever] milvus client response status has error: %w", err) - } - return nil, fmt.Errorf("[NewRetriever] failed to check collection: %w", err) - } - if !ok { - return nil, fmt.Errorf("[NewRetriever] collection not found") - } - - // load collection info - collection, err := config.Client.DescribeCollection(ctx, config.Collection) - if err != nil { - return nil, fmt.Errorf("[NewRetriever] failed to describe collection: %w", err) - } - // check collection schema - if err := checkCollectionSchema(config.VectorField, collection.Schema); err != nil { - return nil, fmt.Errorf("[NewRetriever] collection schema not match: %w", err) - } - - // check the collection load state - if !collection.Loaded { - // load collection - if err := loadCollection(ctx, config); err != nil { - return nil, fmt.Errorf("[NewRetriever] failed to load collection: %w", err) - } - } - - if config.Sp == nil { - dim, err := getCollectionDim(config.VectorField, collection.Schema) - if err != nil { - return nil, fmt.Errorf("[NewRetriever] failed to get collection dim: %w", err) - } - config.Sp = defaultSearchParam(config.ScoreThreshold, dim) - } - - // get the score threshold - scoreThreshold, ok := config.Sp.Params()["range_filter"] - if !ok { - config.ScoreThreshold = 0 - } else { - config.ScoreThreshold = scoreThreshold.(float64) - } - - // build the retriever - return &Retriever{ - config: RetrieverConfig{ - Client: config.Client, - Collection: config.Collection, - Partition: config.Partition, - VectorField: config.VectorField, - OutputFields: config.OutputFields, - DocumentConverter: config.DocumentConverter, - VectorConverter: config.VectorConverter, - MetricType: config.MetricType, - TopK: config.TopK, - ScoreThreshold: config.ScoreThreshold, - Sp: config.Sp, - Embedding: config.Embedding, - }, - }, nil + // conf holds the configuration for this retriever instance + conf *RetrieverConfig } +// Retrieve performs semantic search in Milvus using the provided query string +// It converts the query to vectors using the configured embedding model and searches for similar documents +// ctx: the context for the operation +// query: the text query to search for +// opts: optional parameters to customize the search behavior func (r *Retriever) Retrieve(ctx context.Context, query string, opts ...retriever.Option) (docs []*schema.Document, err error) { - // get common options + var typ string + // Get common options and implementation-specific options co := retriever.GetCommonOptions(&retriever.Options{ - Index: &r.config.VectorField, - TopK: &r.config.TopK, - ScoreThreshold: &r.config.ScoreThreshold, - Embedding: r.config.Embedding, + Embedding: r.conf.Embedding, }, opts...) - // get impl specific options + io := retriever.GetImplSpecificOptions(&ImplOptions{}, opts...) + if io.limit <= 0 { + io.limit = r.conf.TopK + } + // Ensure the context has the necessary run info ctx = callbacks.EnsureRunInfo(ctx, r.GetType(), components.ComponentOfRetriever) - // callback info on start - ctx = callbacks.OnStart(ctx, &retriever.CallbackInput{ - Query: query, - TopK: *co.TopK, - Filter: io.Filter, - ScoreThreshold: co.ScoreThreshold, - Extra: map[string]any{ - "metric_type": r.config.MetricType, - }, + callbacks.OnStart(ctx, &retriever.CallbackInput{ + Query: query, + TopK: io.limit, }) defer func() { if err != nil { @@ -178,120 +63,74 @@ func (r *Retriever) Retrieve(ctx context.Context, query string, opts ...retrieve } }() - // get the embedding vector + // Get the embedding from the common options emb := co.Embedding if emb == nil { - return nil, fmt.Errorf("[milvus retriever] embedding not provided") + return nil, fmt.Errorf("[Retriever.Retrieve] embedding is nil") } - // embedding the query - vectors, err := emb.EmbedStrings(r.makeEmbeddingCtx(ctx, emb), []string{query}) + // Embed the query + vectors, err := emb.EmbedStrings(makeEmbeddingCtx(ctx, emb), []string{query}) if err != nil { - return nil, fmt.Errorf("[milvus retriever] embedding has error: %w", err) - } - // check the embedding result - if len(vectors) != 1 { - return nil, fmt.Errorf("[milvus retriever] invalid return length of vector, got=%d, expected=1", len(vectors)) - } - - // convert the embedding result to entity.Vector - vec, err := r.config.VectorConverter(ctx, vectors) - if err != nil { - return nil, fmt.Errorf("[milvus retriever] failed to convert vector: %w", err) + return nil, fmt.Errorf("[Retriever.Retrieve] embed vectors has error: %v", err) } - // search the collection - var results []client.SearchResult - var searchParams []client.SearchQueryOptionFunc - if io.SearchQueryOptFn != nil { - searchParams = append(searchParams, io.SearchQueryOptFn) + if len(vectors) == 0 { + return nil, fmt.Errorf("[Retriever.Retrieve] no vectors generated for the query") } - results, err = r.config.Client.Search( - ctx, - r.config.Collection, - r.config.Partition, - io.Filter, - r.config.OutputFields, - vec, - r.config.VectorField, - r.config.MetricType, - *co.TopK, - r.config.Sp, - searchParams..., - ) + queryVectors, err := r.conf.VectorConverter(vectors) if err != nil { - return nil, fmt.Errorf("[milvus retriever] search has error: %w", err) - } - // check the search result - if len(results) == 0 { - return nil, fmt.Errorf("[milvus retriever] no results found") + return nil, fmt.Errorf("[Retriever.Retrieve] vector has error: %v", err) } - // convert the search result to schema.Document - documents := make([]*schema.Document, 0, len(results)) - for _, result := range results { - if result.Err != nil { - return nil, fmt.Errorf("[milvus retriever] search result has error: %w", result.Err) + var result []milvusclient.ResultSet + if len(io.hybridSearch) > 0 { + typ = "HybridSearch" + var annRequests []*milvusclient.AnnRequest + for _, hybrid := range io.hybridSearch { + request := hybrid.getAnnRequest(io.limit, queryVectors) + annRequests = append(annRequests, request) } - if result.IDs == nil || result.Fields == nil { - return nil, fmt.Errorf("[milvus retriever] search result has no ids or fields") - } - document, err := r.config.DocumentConverter(ctx, result) - if err != nil { - return nil, fmt.Errorf("[milvus retriever] failed to convert search result to schema.Document: %w", err) - } - documents = append(documents, document...) + result, err = r.conf.Client.HybridSearch(ctx, milvusclient.NewHybridSearchOption(r.conf.Collection, io.limit, annRequests...)) + } else { + typ = "Search" + result, err = r.conf.Client.Search(ctx, milvusclient.NewSearchOption(r.conf.Collection, io.limit, queryVectors)) + } + if err != nil { + return nil, fmt.Errorf("[Retriever.Retrieve] query has error: %v", err) } - // callback info on end - callbacks.OnEnd(ctx, &retriever.CallbackOutput{Docs: documents}) + docs, err = r.conf.DocumentConverter(result) + if err != nil { + return nil, fmt.Errorf("[Retriever.Retrieve] query has error: %v", err) + } - return documents, nil + callbacks.OnEnd(ctx, &retriever.CallbackOutput{ + Docs: docs, + Extra: map[string]any{ + "limit": io.limit, + "type": typ, + }, + }) + return docs, nil } +// GetType returns the type identifier for this retriever component +// This is used for component identification and callback tracking func (r *Retriever) GetType() string { return typ } -func (r *Retriever) IsCallbacksEnabled() bool { - return true -} - -// check the retriever config and set the default value -func (r *RetrieverConfig) check() error { - if r.Client == nil { - return fmt.Errorf("[NewRetriever] milvus client not provided") - } - if r.Embedding == nil { - return fmt.Errorf("[NewRetriever] embedding not provided") - } - if r.Sp == nil && r.ScoreThreshold < 0 { - return fmt.Errorf("[NewRetriever] invalid search params") - } - if r.Collection == "" { - r.Collection = defaultCollection - } - if r.Partition == nil { - r.Partition = []string{} - } - if r.VectorField == "" { - r.VectorField = defaultVectorField +// NewRetriever creates a new Milvus retriever instance with the provided configuration +// It validates the configuration before creating the retriever to ensure all required fields are set +// config: the configuration for the retriever, must contain a valid Milvus client +func NewRetriever(config *RetrieverConfig) (*Retriever, error) { + if err := config.validate(); err != nil { + return nil, fmt.Errorf("[NewRetriever] config validation failed: %w", err) } - if r.OutputFields == nil { - r.OutputFields = []string{} - } - if r.DocumentConverter == nil { - r.DocumentConverter = defaultDocumentConverter() - } - if r.VectorConverter == nil { - r.VectorConverter = defaultVectorConverter() - } - if r.TopK == 0 { - r.TopK = defaultTopK - } - if r.MetricType == "" { - r.MetricType = defaultMetricType - } - return nil + + return &Retriever{ + conf: config, + }, nil } diff --git a/components/retriever/milvus/retriever_test.go b/components/retriever/milvus/retriever_test.go index 0531373d8..248de335b 100644 --- a/components/retriever/milvus/retriever_test.go +++ b/components/retriever/milvus/retriever_test.go @@ -19,427 +19,303 @@ package milvus import ( "context" "fmt" - "log" "testing" . "github.com/bytedance/mockey" "github.com/cloudwego/eino/components/embedding" - "github.com/milvus-io/milvus-sdk-go/v2/client" - "github.com/milvus-io/milvus-sdk-go/v2/entity" + "github.com/cloudwego/eino/schema" + "github.com/milvus-io/milvus/client/v2/entity" + "github.com/milvus-io/milvus/client/v2/milvusclient" "github.com/smartystreets/goconvey/convey" ) +// Mock Embedding implementation +type mockEmbedding struct{} + +func (m *mockEmbedding) EmbedStrings(ctx context.Context, texts []string, opts ...embedding.Option) ([][]float64, error) { + result := make([][]float64, len(texts)) + for i := range texts { + result[i] = []float64{0.1, 0.2, 0.3} + } + return result, nil +} + func TestNewRetriever(t *testing.T) { PatchConvey("test NewRetriever", t, func() { - ctx := context.Background() - Mock(client.NewClient).Return(&client.GrpcClient{}, nil).Build() - mockClient, _ := client.NewClient(ctx, client.Config{}) - - PatchConvey("test retriever config check", func() { - PatchConvey("test client not provided", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: nil, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{}, + mockEmb := &mockEmbedding{} + // Create a non-nil milvusclient.Client pointer for testing + mockClient := &milvusclient.Client{} + + PatchConvey("test retriever config validation", func() { + PatchConvey("test client is nil", func() { + r, err := NewRetriever(&RetrieverConfig{ + Client: nil, + Embedding: mockEmb, }) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[NewRetriever] milvus client not provided")) + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "milvus client is nil") convey.So(r, convey.ShouldBeNil) }) - PatchConvey("test embedding not provided", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: nil, + PatchConvey("test valid config", func() { + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, }) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[NewRetriever] embedding not provided")) - convey.So(r, convey.ShouldBeNil) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) + convey.So(r.conf, convey.ShouldNotBeNil) + convey.So(r.conf.Client, convey.ShouldEqual, mockClient) + convey.So(r.conf.Embedding, convey.ShouldEqual, mockEmb) }) - PatchConvey("test search params not provided and score threshold is out of range", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: -1, - Sp: nil, - Embedding: &mockEmbedding{}, + PatchConvey("test config with default values", func() { + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, }) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[NewRetriever] invalid search params")) - convey.So(r, convey.ShouldBeNil) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) + // Verify default values + convey.So(r.conf.Collection, convey.ShouldEqual, defaultCollection) + convey.So(r.conf.TopK, convey.ShouldEqual, defaultTopK) + convey.So(r.conf.DocumentConverter, convey.ShouldNotBeNil) + convey.So(r.conf.VectorConverter, convey.ShouldNotBeNil) }) }) + }) +} - PatchConvey("test pre-check", func() { - - Mock(GetMethod(mockClient, "HasCollection")).To(func(ctx context.Context, collName string) (bool, error) { - if collName != defaultCollection { - return false, nil - } - return true, nil - }).Build() - - PatchConvey("test collection not found", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "test_collection", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{}, - }) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[NewRetriever] collection not found")) - convey.So(r, convey.ShouldBeNil) +func TestRetriever_GetType(t *testing.T) { + PatchConvey("test Retriever.GetType", t, func() { + mockEmb := &mockEmbedding{} + mockClient := &milvusclient.Client{} - Mock(GetMethod(mockClient, "DescribeCollection")).To(func(ctx context.Context, collName string) (*entity.Collection, error) { - if collName != defaultCollection { - return nil, fmt.Errorf("collection not found") - } - return &entity.Collection{ - Schema: &entity.Schema{ - Fields: []*entity.Field{ - { - Name: defaultVectorField, - DataType: entity.FieldTypeBinaryVector, - TypeParams: map[string]string{ - "dim": "128", - }, - }, - }, - }, - }, nil - }).Build() - - PatchConvey("test collection schema not match", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: defaultCollection, - Partition: nil, - VectorField: "test_vector", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{}, - }) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[NewRetriever] collection schema not match: vector field not found")) - convey.So(r, convey.ShouldBeNil) - - PatchConvey("test collection schema match", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: defaultVectorField, - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{}, - }) - convey.So(err, convey.ShouldNotBeNil) - convey.So(r, convey.ShouldBeNil) - - Mock(GetMethod(mockClient, "GetLoadState")).Return(entity.LoadStateLoaded, nil).Build() - - PatchConvey("test create retriever", func() { - r, err := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: defaultVectorField, - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{}, - }) - convey.So(err, convey.ShouldBeNil) - convey.So(r, convey.ShouldNotBeNil) - }) - }) - }) - }) + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, }) - }) -} + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) -const docMetaData = ` -{ - "id": "1", - "content": "test", - "vector": [1, 2, 3], - "meta": { - "key": "value" - } + typeStr := r.GetType() + convey.So(typeStr, convey.ShouldEqual, typ) + convey.So(typeStr, convey.ShouldEqual, "Milvus") + }) } -` func TestRetriever_Retrieve(t *testing.T) { PatchConvey("test Retriever.Retrieve", t, func() { ctx := context.Background() - Mock(client.NewClient).Return(&client.GrpcClient{}, nil).Build() - mockClient, _ := client.NewClient(ctx, client.Config{}) + mockEmb := &mockEmbedding{} + mockClient := &milvusclient.Client{} - Mock(GetMethod(mockClient, "HasCollection")).To(func(ctx context.Context, collName string) (bool, error) { - if collName != defaultCollection { - return false, nil - } - return true, nil - }).Build() - - Mock(GetMethod(mockClient, "DescribeCollection")).To(func(ctx context.Context, collName string) (*entity.Collection, error) { - if collName != defaultCollection { - return nil, fmt.Errorf("collection not found") - } - return &entity.Collection{ - Schema: &entity.Schema{ - Fields: []*entity.Field{ - { - Name: defaultVectorField, - DataType: entity.FieldTypeBinaryVector, - TypeParams: map[string]string{ - "dim": "128", - }, - }, - }, - }, - }, nil - }).Build() + PatchConvey("test retrieve with nil embedding", func() { + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: nil, + }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) + + // Test case with nil embedding + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "embedding is nil") + convey.So(docs, convey.ShouldBeNil) + }) - Mock(GetMethod(mockClient, "GetLoadState")).Return(entity.LoadStateLoaded, nil).Build() + PatchConvey("test retrieve with embedding error", func() { + // Mock embedding error + mockEmbWithError := &mockEmbedding{} + Mock(GetMethod(mockEmbWithError, "EmbedStrings")).Return(nil, fmt.Errorf("embedding error")).Build() - PatchConvey("test embedding error", func() { - r, _ := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{err: fmt.Errorf("embedding error")}, + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmbWithError, }) - documents, err := r.Retrieve(ctx, "test") + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[milvus retriever] embedding has error: embedding error")) - convey.So(documents, convey.ShouldBeNil) + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "embed vectors has error") + convey.So(docs, convey.ShouldBeNil) }) - PatchConvey("test embedding vector size not match", func() { - r, _ := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{sizeForCall: []int{2}}, + + PatchConvey("test retrieve with empty vectors", func() { + // Mock returning empty vectors + mockEmbEmpty := &mockEmbedding{} + Mock(GetMethod(mockEmbEmpty, "EmbedStrings")).Return([][]float64{}, nil).Build() + + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmbEmpty, }) - documents, err := r.Retrieve(ctx, "test") + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[milvus retriever] invalid return length of vector, got=2, expected=1")) - convey.So(documents, convey.ShouldBeNil) + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "no vectors generated for the query") + convey.So(docs, convey.ShouldBeNil) }) - PatchConvey("test embedding success", func() { - - Mock(GetMethod(mockClient, "Search")).To(func(ctx context.Context, collName string, partitions []string, expr string, outputFields []string, vectors []entity.Vector, vectorField string, metricType entity.MetricType, topK int, sp entity.SearchParam, opts ...client.SearchQueryOptionFunc) ([]client.SearchResult, error) { - if collName != defaultCollection { - return nil, fmt.Errorf("collection not found") - } - if expr != "" { - return []client.SearchResult{}, nil - } - if len(outputFields) > 0 { - return []client.SearchResult{ - { - ResultCount: 0, - GroupByValue: nil, - IDs: nil, - Fields: nil, - Scores: nil, - Err: fmt.Errorf("output fields not supported"), - }, - }, nil - } - return []client.SearchResult{ - { - ResultCount: 0, - GroupByValue: nil, - IDs: entity.NewColumnVarChar("id", []string{"1", "2"}), - Fields: []entity.Column{ - entity.NewColumnVarChar("id", []string{"1", "2"}), - entity.NewColumnVarChar("content", []string{"test", "test"}), - entity.NewColumnBinaryVector("vector", 128, [][]byte{{1, 2, 3}, {4, 5, 6}}), - entity.NewColumnJSONBytes("meta", [][]byte{[]byte(docMetaData)}), - }, - Scores: []float32{1, 2}, - Err: nil, - }, - }, nil - }).Build() - - PatchConvey("test search error", func() { - r, _ := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{sizeForCall: []int{1}}, - }) - r.config.Collection = "test_collection" - documents, err := r.Retrieve(ctx, "test") - convey.So(err, convey.ShouldBeError, fmt.Errorf("[milvus retriever] search has error: collection not found")) - convey.So(documents, convey.ShouldBeNil) + PatchConvey("test retrieve with vector converter error", func() { + // Mock vector converter error + mockVectorConverter := func(vectors [][]float64) ([]entity.Vector, error) { + return nil, fmt.Errorf("vector converter error") + } + + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, + VectorConverter: mockVectorConverter, }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) - PatchConvey("test search result count is 0", func() { - r, _ := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{sizeForCall: []int{1}}, - }) - documents, err := r.Retrieve(ctx, "test", WithFilter("test")) + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "no vectors generated for the query") + convey.So(docs, convey.ShouldBeNil) + }) - convey.So(err, convey.ShouldBeError, fmt.Errorf("[milvus retriever] no results found")) - convey.So(documents, convey.ShouldBeNil) + PatchConvey("test retrieve with search error", func() { + // Mock search error + Mock((*milvusclient.Client).Search).Return(nil, fmt.Errorf("search error")).Build() + + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) - PatchConvey("test search results has error", func() { - r, _ := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: []string{"1", "2"}, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{sizeForCall: []int{1}}, - }) - documents, err := r.Retrieve(ctx, "test") + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "query has error") + convey.So(docs, convey.ShouldBeNil) + }) + + PatchConvey("test retrieve with document converter error", func() { + // Mock successful search but document converter error + mockResultSet := milvusclient.ResultSet{} + Mock((*milvusclient.Client).Search).Return([]milvusclient.ResultSet{mockResultSet}, nil).Build() - convey.So(err, convey.ShouldBeError, fmt.Errorf("[milvus retriever] search result has error: output fields not supported")) - convey.So(documents, convey.ShouldBeNil) + mockDocConverter := func(result []milvusclient.ResultSet) ([]*schema.Document, error) { + return nil, fmt.Errorf("document converter error") + } + + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, + DocumentConverter: mockDocConverter, }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) - PatchConvey("test search results success", func() { - r, _ := NewRetriever(ctx, &RetrieverConfig{ - Client: mockClient, - Collection: "", - Partition: nil, - VectorField: "", - OutputFields: nil, - DocumentConverter: nil, - VectorConverter: nil, - MetricType: "", - TopK: 0, - ScoreThreshold: 0, - Sp: nil, - Embedding: &mockEmbedding{sizeForCall: []int{1}}, - }) - documents, err := r.Retrieve(ctx, "test") + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldNotBeNil) + convey.So(err.Error(), convey.ShouldContainSubstring, "query has error") + convey.So(docs, convey.ShouldBeNil) + }) - convey.So(err, convey.ShouldBeNil) - convey.So(documents, convey.ShouldNotBeNil) + PatchConvey("test successful retrieve", func() { + // Mock successful search and document conversion + mockResultSet := milvusclient.ResultSet{} + Mock((*milvusclient.Client).Search).Return([]milvusclient.ResultSet{mockResultSet}, nil).Build() + + expectedDocs := []*schema.Document{ + { + ID: "doc1", + Content: "test content", + MetaData: map[string]any{ + "score": 0.95, + }, + }, + } + + mockDocConverter := func(result []milvusclient.ResultSet) ([]*schema.Document, error) { + return expectedDocs, nil + } + + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, + DocumentConverter: mockDocConverter, }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) + + docs, err := r.Retrieve(ctx, "test query") + convey.So(err, convey.ShouldBeNil) + convey.So(docs, convey.ShouldNotBeNil) + convey.So(len(docs), convey.ShouldEqual, 1) + convey.So(docs[0].ID, convey.ShouldEqual, "doc1") + convey.So(docs[0].Content, convey.ShouldEqual, "test content") }) - }) -} -type mockEmbedding struct { - err error - cnt int - sizeForCall []int - dims int -} + PatchConvey("test retrieve with hybrid search", func() { + // Mock hybrid search + mockResultSet := milvusclient.ResultSet{} + Mock((*milvusclient.Client).HybridSearch).Return([]milvusclient.ResultSet{mockResultSet}, nil).Build() -func (m *mockEmbedding) EmbedStrings(ctx context.Context, texts []string, opts ...embedding.Option) ([][]float64, error) { - if m.cnt > len(m.sizeForCall) { - log.Fatal("unexpected") - } + expectedDocs := []*schema.Document{ + { + ID: "doc1", + Content: "hybrid search result", + }, + } - if m.err != nil { - return nil, m.err - } + mockDocConverter := func(result []milvusclient.ResultSet) ([]*schema.Document, error) { + return expectedDocs, nil + } - slice := make([]float64, m.dims) - for i := range slice { - slice[i] = 1.1 - } + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, + DocumentConverter: mockDocConverter, + }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) + + // Use hybrid search option + hybridOption := NewHybridSearchOption("vector_field", 10) + docs, err := r.Retrieve(ctx, "test query", WithHybridSearchOption(hybridOption)) + convey.So(err, convey.ShouldBeNil) + convey.So(docs, convey.ShouldNotBeNil) + convey.So(len(docs), convey.ShouldEqual, 1) + convey.So(docs[0].Content, convey.ShouldEqual, "hybrid search result") + }) - r := make([][]float64, m.sizeForCall[m.cnt]) - m.cnt++ - for i := range r { - r[i] = slice - } + PatchConvey("test retrieve with custom limit", func() { + // Mock successful search + mockResultSet := milvusclient.ResultSet{} + Mock((*milvusclient.Client).Search).Return([]milvusclient.ResultSet{mockResultSet}, nil).Build() - return r, nil -} + expectedDocs := []*schema.Document{ + {ID: "doc1", Content: "content1"}, + {ID: "doc2", Content: "content2"}, + } + + mockDocConverter := func(result []milvusclient.ResultSet) ([]*schema.Document, error) { + return expectedDocs, nil + } + + r, err := NewRetriever(&RetrieverConfig{ + Client: mockClient, + Embedding: mockEmb, + DocumentConverter: mockDocConverter, + }) + convey.So(err, convey.ShouldBeNil) + convey.So(r, convey.ShouldNotBeNil) + + // Use custom limit + docs, err := r.Retrieve(ctx, "test query", WithLimit(10)) + convey.So(err, convey.ShouldBeNil) + convey.So(docs, convey.ShouldNotBeNil) + convey.So(len(docs), convey.ShouldEqual, 2) + }) + }) +} \ No newline at end of file diff --git a/components/retriever/milvus/utils.go b/components/retriever/milvus/utils.go index bb4635198..d3e20a9ec 100644 --- a/components/retriever/milvus/utils.go +++ b/components/retriever/milvus/utils.go @@ -1,196 +1,54 @@ /* * Copyright 2025 CloudWeGo Authors * - * Licensed under the Apache License, Version 2.0 (the "License"); + * Licensed undeh the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * - * Unless required by applicable law or agreed to in writing, software - * distributed under the License is distributed on an "AS IS" BASIS, - * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - * See the License for the specific language governing permissions and - * limitations under the License. + * Unless hequired by applicable law oh agreed to in writing, software + * distributed undeh the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, eitheh express oh implied. + * See the License foh the specific language governing permissions and + * limitations undeh the License. */ package milvus import ( "context" - "encoding/binary" - "errors" - "fmt" - "math" - "strconv" - "time" - - "github.com/bytedance/sonic" + "github.com/cloudwego/eino/callbacks" "github.com/cloudwego/eino/components" "github.com/cloudwego/eino/components/embedding" - "github.com/cloudwego/eino/schema" - "github.com/milvus-io/milvus-sdk-go/v2/client" - "github.com/milvus-io/milvus-sdk-go/v2/entity" ) -// defaultSearchParam returns the default search param -func defaultSearchParam(score float64, dim float64) entity.SearchParam { - searchParam, _ := entity.NewIndexAUTOINDEXSearchParam(defaultAutoIndexLevel) - searchParam.AddRadius(dim) - searchParam.AddRangeFilter(score) - return searchParam -} - -// defaultDocumentConverter returns the default document converter -func defaultDocumentConverter() func(ctx context.Context, doc client.SearchResult) ([]*schema.Document, error) { - return func(ctx context.Context, doc client.SearchResult) ([]*schema.Document, error) { - var err error - result := make([]*schema.Document, doc.IDs.Len(), doc.IDs.Len()) - for i := range result { - result[i] = &schema.Document{ - MetaData: make(map[string]any), - } - } - for _, field := range doc.Fields { - switch field.Name() { - case "id": - for i, document := range result { - document.ID, err = doc.IDs.GetAsString(i) - if err != nil { - return nil, fmt.Errorf("failed to get id: %w", err) - } - } - case "content": - for i, document := range result { - document.Content, err = field.GetAsString(i) - if err != nil { - return nil, fmt.Errorf("failed to get content: %w", err) - } - } - case "metadata": - for i, document := range result { - b, err := field.Get(i) - bytes, ok := b.([]byte) - if !ok { - return nil, fmt.Errorf("failed to get metadata: %w", err) - } - if err := sonic.Unmarshal(bytes, &document.MetaData); err != nil { - return nil, fmt.Errorf("failed to unmarshal metadata: %w", err) - } - } - default: - for i, document := range result { - document.MetaData[field.Name()], err = field.GetAsString(i) - } - } - } - return result, nil - } -} - -// defaultVectorConverter returns the default vector converter -func defaultVectorConverter() func(ctx context.Context, vectors [][]float64) ([]entity.Vector, error) { - return func(ctx context.Context, vectors [][]float64) ([]entity.Vector, error) { - vec := make([]entity.Vector, 0, len(vectors)) - for _, vector := range vectors { - vec = append(vec, entity.BinaryVector(vector2Bytes(vector))) - } - return vec, nil - } -} - -// checkCollectionSchema checks if the vector field exists in the schema -func checkCollectionSchema(field string, s *entity.Schema) error { - for _, column := range s.Fields { - if column.Name == field { - return nil - } - } - return errors.New("vector field not found") -} - -// getCollectionDim gets the dimension of the vector field -func getCollectionDim(field string, s *entity.Schema) (float64, error) { - for _, column := range s.Fields { - if column.Name == field { - scoreCeiling, err := strconv.ParseFloat(column.TypeParams[typeParamDim], 64) - if err != nil { - return 0, err - } - return scoreCeiling, nil - } - } - return 0, errors.New("vector field not found") -} - -// loadCollection loads the collection -func loadCollection(ctx context.Context, conf *RetrieverConfig) error { - loadState, err := conf.Client.GetLoadState(ctx, conf.Collection, nil) - if err != nil { - return fmt.Errorf("failed to get load state: %w", err) - } - switch loadState { - case entity.LoadStateNotExist: - return fmt.Errorf(" collection not exist") - case entity.LoadStateNotLoad: - index, err := conf.Client.DescribeIndex(ctx, conf.Collection, conf.VectorField) - if err != nil { - if errors.Is(err, client.ErrClientNotReady) { - return fmt.Errorf(" milvus client not ready: %w", err) - } - return err - } - if len(index) < 1 { - return fmt.Errorf("index not found") - } - return nil - case entity.LoadStateLoading: - ticker := time.NewTicker(200 * time.Millisecond) - defer ticker.Stop() - for { - select { - case <-ctx.Done(): - return ctx.Err() - case <-ticker.C: - loadingProgress, err := conf.Client.GetLoadingProgress(ctx, conf.Collection, nil) - if err != nil { - return err - } - if loadingProgress == defaultLoadedProgress { - return nil - } - } - } - default: - return nil - } -} - -// makeEmbeddingCtx makes the embedding context -func (r *Retriever) makeEmbeddingCtx(ctx context.Context, emb embedding.Embedder) context.Context { +// makeEmbeddingCtx creates a context for embedding operations with proper callback handling +// This ensures that embedding operations are properly tracked and monitored +// ctx: the parent context +// emb: the embedding component to create context for eino +func makeEmbeddingCtx(ctx context.Context, emb embedding.Embedder) context.Context { runInfo := &callbacks.RunInfo{ Component: components.ComponentOfEmbedding, } - + if embType, ok := components.GetType(emb); ok { runInfo.Type = embType } - + runInfo.Name = runInfo.Type + string(runInfo.Component) - + return callbacks.ReuseHandlers(ctx, runInfo) } -// vector2Bytes converts the vector to bytes -func vector2Bytes(vector []float64) []byte { +// vector2Float32 converts a float64 vector to float32 vector +// This is required because Milvus uses float32 vectors while embeddings often return float64 +// vector: the input float64 vector to convert +func vector2Float32(vector []float64) []float32 { float32Arr := make([]float32, len(vector)) for i, v := range vector { float32Arr[i] = float32(v) } - bytes := make([]byte, len(float32Arr)*4) - for i, v := range float32Arr { - binary.LittleEndian.PutUint32(bytes[i*4:], math.Float32bits(v)) - } - return bytes + return float32Arr }