Chat With Multiple Documents | RAG Chatbot With LangChain, Faiss & Streamlit

This video is a tutorial on how to build a RAG chatbot. I will walk you through building a RAG (Retrieval-Augmented Generation) chatbot that can chat with multiple documents (DOCX, PDF, TXT, PowerPoint) using LangChain, FAISS, and Streamlit. 🔍What You’ll Learn: • Load and process multiple documents format • Split and chunk text for better retrieval • Generate embeddings using OpenAI • Store and search document data with FAISS • Build an interactive chatbot interface in Streamlit • Retrieve accurate, context-aware answers to your queries 00:00 – Introduction to the project 01:47 – Setting up the project environment 02:45 – RAG pipeline 05:10 – Building the Streamlit chatbot interface 06:41 – Testing the multi-document RAG chatbot Github Repository: https://github.com/Mercytopsy/RAG-MultiDoc-Chatbot 🔴 Subscribe for more tips just like this: https://www.youtube.com/channel/UCnNubO_0CsCybaFpSxlbStA?sub_confirmation=1 ---------------------------------------------------------------- #RAG #Multimodal RAG #LangChain #AI #MachineLearning #LangChainTutorial #Python #Chatbot #LLMs #OpenAI #GPT4 #AIApps #Chatbot #Streamlit #FAISS #OpenAI #PythonAI