3-Build RAG Pipeline From Scratch-Building Advanced Retreival Query Pipline-Part 2

code: https://github.com/krishnaik06/RAG-Tutorials In this video, I’ll guide you step by step to build a complete RAG (Retrieval-Augmented Generation) pipeline from scratch using LangChain. You’ll learn how to ingest raw data, preprocess it, create embeddings, and store them into a Vector Database, setting the foundation for powerful RAG applications. 🔑 What You’ll Learn: 1. Building Retreival query Pipeline With GROQ 2. Integration Vectordb in the pipeline ⚡ Whether you’re a beginner or an experienced AI/ML practitioner, this video will give you a hands-on approach to building robust RAG pipelines. 👉 Don’t forget to like, share, and subscribe for more tutorials on Generative AI, LangChain, and RAG applications. ------------------------------------------------------------------------------ Check our Complete Playlist Agentic AI Langgraph Playlist: https://www.youtube.com/watch?v=vVGXPRjtAJE&list=PLZoTAELRMXVPFd7JdvB-rnTb_5V26NYNO RAG Playlist: https://www.youtube.com/watch?v=fZM3oX4xEyg&list=PLZoTAELRMXVM8Pf4U67L4UuDRgV4TNX9D MCP Playlist: https://www.youtube.com/watch?v=-UQ6OZywZ2I&list=PLZoTAELRMXVPC8r1xF68Gksi241DAtMsK