Supabase Postgres Vector DB Crash Course

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In this crash course, I guide you through creating a free vector store in Superbase, saving data and embeddings, and using RAG to chat with your data. By the end of this video, you'll have built a mini full-stack application that allows you to save emails to this vector store and chat with all your previous emails. I'll walk you through setting up a Superbase project, creating a Next.js project, and integrating OpenAI for embeddings. Plus, all the source code is available for free!

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Resources mentioned in video:
- Supabase: https://supabase.com/
- Supabase Indexes: https://supabase.com/docs/guides/ai/vector-indexes
- Create a NextJS Supabase Project: https://supabase.com/docs/guides/getting-started/quickstarts/nextjs
- Supabase Insert Data: https://supabase.com/docs/reference/javascript/insert

Checkout my other tutorials:
LangChain Tutorial - https://youtu.be/yF9kGESAi3M
CrewAI Tutorial: Complete Crash Course for Beginners - https://youtu.be/sPzc6hMg7So
CrewAI Tutorial for Beginners: Learn How To Use Latest CrewAI Features - https://youtu.be/Jl6BuoXcZPE
How To Connect Llama3 to CrewAI [Groq + Ollama] - https://youtu.be/02cdCd43Ccc

Timestamps:
00:00:00 Introduction
00:00:34 Overview
00:03:51 Phase 1 - Setup Supabase Account
00:06:53 Phase 2 - Create Database with Vector Store Support
00:21:49 Phase 3 - Create NextJS App to Store Emails
00:50:00 Phase 4 - Update NextJS App to Chat with Emails
01:03:17 Complete App Working Example
01:06:33 Outro