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-Mul...
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