Langchain RAG Course: From Basics to Production-Ready RAG Chatbot

Build a production-ready Retrieval-augmented generation (RAG) chatbot that can answer questions based on your own documents using Langchain. This comprehensive tutorial guides you through creating a multi-user chatbot with FastAPI backend and Streamlit frontend, covering both theory and hands-on implementation. Topics covered: RAG fundamentals and applications Langchain basics and LCEL Document processing and vector databases Building conversational RAG chains Multi-user chatbot development FastAPI integration Streamlit interface creation By the end of this video, you'll have built a functional AI chatbot capable of answering questions based on custom data sources. For code samples and additional resources, visit our blog: https://blog.futuresmart.ai/series/la... #Langchain #RAG #ragchatbot #llm