Скачать с ютуб Code Generation RAG with LangChain, Supabase & Ollama (Developer Tutorial) в хорошем качестве

Code Generation RAG with LangChain, Supabase & Ollama (Developer Tutorial)

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! 🔔 If you find this content helpful, make sure to hit the like button, subscribe for more AI tutorials, and turn on notifications so you don't miss any updates!