RAG System with LangChain, Supabase Vector Store and Ollama on Llama 3.2 for Code Genaration. Easy step-by step process. Get a fully-working RAG system in less than 20 minutes.
GitHub Repo: https://github.com/aidev9/tuts/tree/m...
🚀 Unlock RAG Power with LangChain, Supabase & Ollama! 💥
In today’s video, I’m going to show you how to generate code using LangChain, Supabase, and Ollama by building a powerful Retrieval-Augmented Generation (RAG) pipeline.
If you're a developer, tech lead, or AI enthusiast, this tutorial will help you streamline data retrieval while enhancing your app’s AI capabilities. You’ll learn:
🔍 How to use LangChain to manage and chain your AI-powered tasks
📊 Connecting Supabase for fast, scalable data storage
🤖 Integrating Ollama for efficient and customizable language models
💡 Plus, pro tips on how to optimize your RAG workflow for blazing performance!
Stick around until the end where I share my tips for scaling this setup and making your app a true AI powerhouse. Don’t miss it!
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