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enthusiast.

Production Ready Agentic AI Framework for E-commerce.

Introduction

Enthusiast is an open-source toolkit for building AI-powered agentic workflows. It provides tools like Retrieval-Agumented Generation (RAG), vector search and workflow orchestrator. You can connect it to cloud-based models, like OpenAI, as well as self-hosted deployments of Mistral, LLaMA or Deepseek.

Enthusiast helps you cut down time, cost and complexity when building AI-powered tools with customized agents - for smart information search, customer support, content generation or knowledge base automation. Enthusiast provides validation and evaluation components, to reduce hallucinations and ensure responses are grounded in actual data.

Getting Started

Get started with Enthusiast by either:

Example use cases

  • Internal Knowledge Base For companies with complex catalogs, Enthusiast supports sales teams with detailed product knowledge.

  • Customer Support: (Semi-)automate responses to customer questions. Enthusiast can find answers from your product data.

  • Content Creation: Generate newsletters, blog posts, and ads. Enthusiast acts as a marketer, creating content at scale from day one.

  • Product Recommendations: Ask free-form questions about products that meet specific criteria, and Enthusiast will suggest suitable options.

  • Content Moderation and Validation Automatically validate new content or customer reviews to ensure accuracy.

Main Features

  • Pre-built integrations with popular e-commerce platforms

  • Built on a standard Python/Django/PostgreSQL/React stack

  • Compatible with OpenAI and self-hosted LLMs

  • Open-source version available for customization and prompt modifications

Try It Out

Check our Getting Started guide to set up your local instance and see Enthusiast in action in under 5 minutes.

Pre-built Integrations

Connect to your e-commerce stack in minutes, with minimal configuration required.

Integrations

License

Enthusiast is a fully open-source agentic AI framework that will always remain free under the MIT License.