RAG for E-Commerce
Enthusiast brings retrieval-augmented generation to your e-commerce data. Deliver fast, accurate, context-aware answers—fully customizable, self-hosted, and open source.
The Challenge with Delivering Accurate Product Info
Inconsistent or outdated answers in customer support
Time-consuming content creation workflows
Sales teams lacking quick access to complex product data
Difficulties enforcing brand tone and factual accuracy across channels
Enthusiast Solves These Challenges with RAG
Enthusiast brings retrieval-augmented generation to your e-commerce stack. It connects to your product catalog and knowledge base, retrieves relevant context in real-time, and uses that context to generate accurate, human-like responses, content, or recommendations. You stay in control with open-source infrastructure, self-hosted deployments, and customizable prompts or workflows.
How It Works
AI That Understands Your Products
Connect your product catalog and knowledge sources (CSV, CMS, docs, FAQs)
Configure your RAG pipeline with customizable prompts and retrieval strategies
Deploy the agent for use cases like support, content, and recommendations
Choose your model—OpenAI, Mistral, Llama, or others
Iterate and adapt as your catalog and workflows evolve
Why Enthusiast for RAG in E-Commerce
Accurate, up-to-date answers
Real-time retrieval ensures responses are always current
Open-source and self-hosted
Keep control of your data and logic
Customizable workflows
Tune prompts and retrieval logic to match your use case
Works with your stack
Django, Python, React, PostgreSQL
Compatible with multiple LLMs
Works with OpenAI or local models like Mistral and Llama
Technical Flexibility
Built for Developers and Teams That Need Control
Built on a modern Python/Django/PostgreSQL/React stack
Open-source license (no vendor lock-in, no API cost surprises)
Bring your own LLM: supports OpenAI, Mistral, Llama, and more
Customize RAG pipelines, prompt templates, and retrieval logic
Ready for local or cloud deployment
Frequently Asked Questions
How does Enthusiast integrate with my e-commerce platform?
It includes pre-built integrations for popular platforms. You can also connect via API or import product data manually.
Can it be trained on internal documents?
Yes. You can ingest product docs, manuals, PDFs, and FAQs as part of the retrieval layer.
Is it secure and self-hosted?
Absolutely. You can deploy Enthusiast and the LLM locally—no data ever needs to leave your servers.
What LLMs can I use with Enthusiast?
It supports OpenAI models out of the box, and you can also use open-source models like Mistral, Llama, and others.
Can I customize the prompts or workflows?
Yes—everything is configurable. Modify prompts, retrieval logic, and user-facing workflows to fit your exact needs.
