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π In this video, I built a complete RAG (Retrieval-Augmented Generation) chatbot that can answer questions from your own documents. This project uses: * LangChain for orchestration * FAISS for vector search * Azure OpenAI for embeddings & LLM * Streamlit for the UI π‘ Features: * PDF document ingestion * Semantic search using embeddings * Context-aware question answering * Chat interface with history π Tech Stack: Python | LangChain | FAISS | Azure OpenAI | Streamlit π§ What you'll learn: * How RAG works step-by-step * How to build your own AI chatbot * How to connect Azure OpenAI with LangChain * How to deploy a simple AI app π Use cases: * Document Q&A systems * Internal knowledge assistants * Customer support bots π If you found this helpful, donβt forget to like, share, and subscribe! #AI #RAG #LangChain #OpenAI #Streamlit #MachineLearning #Python