Building a Q&A App with RAG, LangChain, and Open-Source LLMs - Step-by-Step Guide

Learn to build a powerful Q&A application using Retrieval-Augmented Generation (RAG), LangChain, and open-source Language Learning Models (LLMs) in this comprehensive step-by-step video guide. Discover the fundamentals of RAG and its role in enhancing Q&A systems, master the setup and utilization of LangChain for seamless component integration, and explore the implementation of open-source LLMs to create a robust and efficient question-answering system. Follow along with detailed instructions and code examples as you construct a sophisticated AI-powered application. Gain valuable insights into cutting-edge AI technology and its practical applications in natural language processing.