Master RAG with LangChain & ChromaDB: Python Tutorial for AI Beginners
๐ Learn Retrieval-Augmented Generation (RAG) in Python!
In this hands-on tutorial, I demonstrate how to implement a RAG pipeline using LangChain and ChromaDB, two powerful tools for AI-driven knowledge retrieval and context-aware generation.
๐ What You'll Learn:
Setting up LangChain for seamless integration with language models
Storing and retrieving data using ChromaDB (a vector database)
Embedding documents for efficient search and retrieval
Building a functional RAG pipeline from scratch
๐ ๏ธ Technologies Used:
Python
LangChain
ChromaDB
Whether you're new to RAG or an AI enthusiast looking to enhance your understanding, this video simplifies the process step by step.
Donโt forget to Like, Comment, and Subscribe for more tutorials on AI, ML, and Data Engineering!
Watch on YouTube โ
(saves to browser)
Sign in to unlock AI tutor explanation ยท โก30
Related AI Lessons
โก
โก
โก
โก
I Spent 3 Hours Building Something That Would Have Taken My Team 3 Weeks. Itโs Called RAG.
Medium ยท ChatGPT
Building RAG Assistant: A I Built a Desktop RAG Chatbot From Scratch โ Here's Everything I Learned
Dev.to ยท sydney muganda
The Smart Studentโs Guide to RAG: From Giant Textbooks to Grounded Answers
Medium ยท RAG
How to Evaluate RAG Applications
Medium ยท LLM
๐
Tutor Explanation
DeepCamp AI