Agentic RAG: Build a multi-agent QA chatbot for your documents with RAG, LangGraph and Docling
In this immersive workshop, you'll build DocChat, a multi-agent RAG platform that retrieves, synthesizes, and verifies information from your documents with precision. Unlike traditional chatbots, DocChat combines advanced hybrid retrieval (BM25 + vector search) and multi-agent workflows to cross-check answers. No more hallucinated responses—DocChat delivers fact-based solutions or flags gaps when data is missing.
Using LangGraph, Docling, ChromaDB, and Gradio, you’ll learn to deploy reliable AI that excels at real-world document intelligence. Walk away with practical skills to build AI assistants that are transparent, accurate, and production-ready.
Check the following repo for the Model Context Protocol code from the video, updated and production ready: https://ibm.biz/haileys-repo
Like this session? Want more? Check out presenter Hailey Quach's free guided project! https://ibm.biz/agentic-rag-guided-project
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