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

Krish Naik

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

59 668 просмотров · 1 г. назад
Krish Naik
1,53 млн подписчиков
59 668 просмотров · 1 г. назад
code: https://github.com/krishnaik06/RAG-Tu... 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:    • 1-LangGraph Tutorial-Getting Started With ...   RAG Playlist:    • Introduction To Undertsanding RAG(Retrieva...   MCP Playlist:    • All You Need To Know About Model Context P...