letsearch-client

A Python client for letsearch — the vector DB so easy, even your grandparents can build a RAG system 😁.

❓ What is this?

letsearch-client provides an easy-to-use Python interface to interact with a running letsearch server. With this client, you can programmatically manage collections, perform health checks, and run searches without worrying about HTTP requests or JSON parsing.

⚠️ Note: The main letsearch- project and this client are still under active development. Rapid changes may occur as letsearch evolves.

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🖼️ Features

• Perform health checks on your letsearch server.
• List and retrieve collection information.
• Run searches on indexed collections.
• Automatically handle errors and raise exceptions when needed.

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🏎️ Installation

Install letsearch-client via uv (recommended) or pip:

uv add letsearch-client

or:

pip install letsearch-client

If you want to convert models to use with letsearch, you need to install additional conversion-related dependencies:

pip install letsearch-client[conversion]

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🚀 Quickstart

Here’s how you can use the LetsearchClient to interact with a running letsearch instance:

Setup

from letsearch_client import LetsearchClient

# Initialize the client
client = LetsearchClient(letsearch_url="http://localhost:7898", raise_for_status=True)

# Always remember to close the client or use it in a context manager
client.close()

Alternatively, use a context manager to ensure proper cleanup:

from letsearch_client import LetsearchClient

with LetsearchClient(letsearch_url="http://localhost:7898") as client:
    health = client.healthcheck()
    print(health)

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Example Usage

Health Check

response = client.healthcheck()
print(response)  # Outputs server health status and version

List Collections

collections = client.get_collections()
print(collections)  # Outputs a list of available collections

Retrieve Collection Info

collection_info = client.get_collection("example_collection")
print(collection_info)  # Outputs details about the specified collection

Search in a Collection

results = client.search(
    collection_name="example_collection",
    column_name="content",
    query="example query",
    limit=5
)
print(results)  # Outputs search results

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🧭 Roadmap

The roadmap of the letsearch project can be found in its repository. This client is intended to be a thin wrapper around the functionality of letsearch, and it will continue to implement new features as letsearch evolves.

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🌡️ Tests

Run the client’s test suite using:

pytest