Generative AI from Basic to Advance - LangGraph:08 Adding RAG to LangGraph Workflow | LangGraph Deep Dive #llm #genai #aiagents #langchain

In this session, we explore how to implement Retrieval-Augmented Generation (RAG) using the LangGraph framework. We’ll break down the RAG workflow, showing how LangGraph can be leveraged to enable efficient, dynamic, and accurate information retrieval paired with powerful generative AI responses. Key points covered: LangGraph for RAG Workflows: How LangGraph’s graph-based structure is ideal for setting up multi-step RAG processes, including search, retrieval, and generation. Workflow Design: Step-by-step design of a RAG pipeline using LangGraph, from query processing to document retrieval and response generation. #llm #embedding #ai #futureai #generativeai #genai #textgeneration #ragapp #langchain #programminglogic #python #chatbot #openai #gpt #langchainj #rag #crossencoder #transformers #multiretriever #ragfusion #advancerag #llamaindex #langchain #gemini #google #rag #LCEL #langgraph #aiagent #react #aiagents Don't miss out; learn with me! P.S. Don't forget to like and subscribe for more AI content! End-to-End-Langgraph-Course: https://github.com/sunnysavita10/langgraph-end-to-end Multimodel RAG Playlis: https://www.youtube.com/watch?v=7CXJWnHI05w&list=PLQxDHpeGU14D6dm0rmAXhdLeLYlX2zk7p&pp=gAQBiAQB RAG detailed Playlist: https://www.youtube.com/watch?v=wTVTkOb3SZc&list=PLQxDHpeGU14Blorx3Ps1eZJ4XvKET1_vx&pp=gAQBiAQB GenAI Foundation Playlist: https://www.youtube.com/watch?v=ajWheP8ZD70&list=PLQxDHpeGU14D7NiPgqxC9qhKkx4jMQcDk&pp=gAQBiAQB Connect with me on Social Media- LinkedIn : https://www.linkedin.com/in/sunny-savita/ One to One Call: https://topmate.io/sunny_savita10 GitHub : https://github.com/sunnysavita10 Telegram : https://t.me/aimldlds