Case study — ChatForge

ChatForge

An extensible RAG chatbot framework with multi-LLM support, built with Pixeltable for vector search and Chainlit for the chat interface. Build intelligent chatbots that answer questions from product catalogs, documents, and FAQs — all through natural conversation. Demo: Built a fully functional customer support agent for Bombay Shaving Company in under 10 minutes — no code, no fine-tuning.

Client

ChatForge

Sector

RAG · Vector DB · Pixeltable · Chainlit · Python · LLMs

ChatForge: Open-Source RAG Chatbot Framework

ChatForge: Open-Source RAG Chatbot Framework

Ship a production RAG chatbot in minutes — no code, no fine-tuning.

Introduction

ChatForge is an extensible, open-source framework for building retrieval-augmented chatbots that answer questions from product catalogs, documents, and FAQs — all through natural conversation. It pairs Pixeltable for vector search with Chainlit for the chat interface, and supports multiple LLM backends so you're never locked in. The goal: take a pile of unstructured knowledge and turn it into an intelligent assistant in under ten minutes.

Demo

The demo

Built a fully functional customer support agent for Bombay Shaving Company in under 10 minutes — no code, no fine-tuning. The agent answers real customer questions grounded entirely in the brand's own catalog and FAQs.

Key Features

  • Multi-LLM support — swap models without rewriting your pipeline.
  • Vector search with Pixeltable — fast, incremental retrieval over your knowledge base.
  • Chainlit chat UI — a polished conversational interface out of the box.
  • Grounded answers — responses stay tied to your documents, cutting hallucination.
  • Zero fine-tuning — point it at your content and go.

Tech Stack

RAG · Vector DB · Pixeltable · Chainlit · Python · LLMs

Where is the same work happening in your business?

The assessment finds it, prices the fix, and tells you what it returns. Two to four weeks, fixed fee, quoted on the call. You keep everything it produces.