Tutorial 3- Getting Started With Q&A RAG Pipeline Using Langchain- Krish Naik Hindi

Krish Naik Hindi · Beginner ·🔍 RAG & Vector Search ·2y ago

Skills: RAG Basics90%Vector Stores80%

Key Takeaways

Builds a basic Q&A RAG pipeline using Langchain, loading data from text, PDF, or website URL, and storing it in a vector database like FAISS

Original Description

In this video we will be buliding basics RAG pipelines ,here we will be learning various ways to load data such as text,pdf or website url, then we will be transsforming the data into chunks and then converting in to vectors and storing it in vector database such as FAISS and then we can do the similarity search to retrieve any data. code github: https://github.com/krishnaik06/Updated-Langchain/tree/main/rag --------------------------------------------------------------------------------------------- Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more https://www.youtube.com/channel/UCNU_lfiiWBdtULKOw6X0Dig/join ----------------------------------------------------------------------------------------------------------- All Playlist links are given below Langchain Playlist: https://www.youtube.com/watch?v=tEL833CPhqw&list=PLTDARY42LDV6flFgQLJCcVSXXa58mZ9Ty NLP Playlist: https://www.youtube.com/playlist?list=PLTDARY42LDV67aWThoZxflLYGnD3Rh3VG ML playlist in hindi: https://bit.ly/3NaEjJX Stats Playlist In Hindi:https://bit.ly/3tw6k7d Python Playlist In Hindi:https://bit.ly/3azScTI ---------------------------------------------------------------------------------------------------------------- Connect with me here: Twitter: https://twitter.com/Krishnaik06 Facebook: https://www.facebook.com/krishnaik06 instagram: https://www.instagram.com/krishnaik06

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