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

Video-ID-V250703-AA

In this step-by-step tutorial, you'll learn how to integrate a LangChain-based RAG (Retrieval Augmented Generation) pipeline into OpenWebUI, using a FastAPI backend that fully mimics the OpenAI API.

What you'll build :
A FastAPI server that talks to OpenWebUI
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

OpenWebUI 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 OpenWebUI?
FastAPI server setup
LangChain RAG chain initialization
OpenWebUI-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