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Welcome to Enthusiast

Enthusiast is an open-source, production-oriented agentic AI framework built specifically for e-commerce workflows.

If you want to attach RAG-powered agents to product catalogs, customer support flows, or content pipelines — with the option to self-host everything — Enthusiast is worth exploring.

What is Enthusiast?​

Framework Overview

Enthusiast is a production-ready agentic AI framework specifically designed for e-commerce environments.

Enthusiast combines:

  • Retrieval-Augmented Generation (RAG) with vector search capabilities
  • Layered validation to reduce AI hallucinations
  • Pre-built e-commerce connectors for PIM/CMS/Shopify integration
  • Support for both cloud-based and self-hosted language models
  • Python/Django backend with React frontend
Why Choose Enthusiast?

Unlike general-purpose AI frameworks, Enthusiast is optimized for product catalogs, customer support, and e-commerce workflows out of the box.

Key Features​

RAG + Vector Index​

Build a vectorized index of product pages, docs, and PIM exports, then answer free-form questions with contextually retrieved evidence.

Validation & Evaluation​

Layered scoring and optional LLM-based validators help detect inconsistencies and reduce hallucinations.

E-Commerce Connectors​

Pre-built connectors simplify ingest from common sources (PIM/CMS/Shopify/others) to get real product data into the index faster.

Flexible Model Integrations​

Use OpenAI-hosted models or self-hosted LLMs (Mistral, LLaMA, Deepseek, etc.) depending on security and cost constraints.

Common Use Cases​

  • Knowledge bases for sales & support
  • Semi-automated customer support
  • Content generation (ads, product descriptions)
  • Recommendation flows
  • Content moderation

Get Started​

Ready to dive in? Check out the Quick Start guide to get a local instance running in under 5 minutes.

Resources​