#53. LangChain RAG Chain Explained | Build Retrieval-Augmented Generation with Demo
Автор: Tech With Mala
Загружено: 2026-01-02
Просмотров: 35
In this video, you’ll learn how the RAG (Retrieval-Augmented Generation) Chain works in LangChain, with a clear hands-on demo.
RAG combines document retrieval with LLMs to generate more accurate, factual, and context-aware responses—a core pattern for production AI systems.
🔹 What you’ll learn in this video:
What RAG Chain is in LangChain
Why RAG is important for reducing hallucinations
Components of a RAG pipeline (Loader → Splitter → Vector Store → Retriever → LLM)
How a RAG Chain works end-to-end
Step-by-step implementation demo
Real-world use cases (chatbots, search, Q&A systems)
This tutorial is perfect for LangChain learners, AI developers, and anyone building knowledge-based LLM applications.
👍 If you find this helpful, like, share, and subscribe for more LangChain & AI tutorials!
#langchain #rag #llm #ai #promptengineering
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