Integrate LangChain Powered RAG Bot with Open WebUI | Build Your Own ChatGPT with Your PDFs

Video-ID-V20250703-AA In this step-by-step tutorial, you'll learn how to integrate a LangChain-based RAG (Retrieval Augmented Generation) pipeline into Open WebUI, using a FastAPI backend that fully mimics the OpenAI API. What you'll build : A FastAPI server that talks to Open WebUI Integration with LangChain, FAISS, and OpenAI embeddings OpenAI-compatible /v1/chat/completions and /v1/models endpoints Streaming support with Server-Sent Events (SSE) Complete control over your own data Open WebUI gives you a ChatGPT-style frontend — but running 100% locally. This makes it perfect for private document Q&A systems, enterprise tools, or personal assistants. Prerequisites : LangChain RAG pipeline (we're using one built in a previous video) FAISS vector index with your embedded documents Topics Covered : Why Open WebUI? FastAPI server setup LangChain RAG chain initialization Open WebUI-compatible API endpoints Streaming with FastAPI 📂 Download Tutorial Project Files Get Tutorial Project Files → Download the exact files used in this tutorial and practice hands-on. Link: https://topmate.io/epyconnect/1696108 🔔 Don't forget to like, share, and subscribe for more LangChain and AI dev tutorials! #LangChain #OpenWebUI #RAG #FastAPI #AIchatbot #ChatGPTClone #LocalLLM #FAISS #PythonAI #SelfHosted