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Stop paying for Pinecone. Stop paying for OpenAI embeddings. For 95% of projects, Supabase's built-in pgvector extension is all you need—and it's practically free. 🎓 LEVEL UP YOUR AI SKILLS Learn to build production-ready AI applications and how to agentic code with system not vibe coding: https://shorturl.smartcode.diy/dynamous_ai_10_percent_discount In this video, I break down: • Why you probably don't need a separate vector database • The hidden embedding cost that tutorials never mention • A free alternative that's 99% as good as OpenAI • A simple decision framework for your next AI project --- Chapters 0:00 - Preview 0:09 - The Vector Database Myth 0:26 - What is Supabase Vector Database? 1:08 - Understanding Embeddings 1:52 - Why Not Pinecone? 2:43 - The Hidden Cost of OpenAI 3:28 - The Free Solution (Edge Functions) 4:26 - Real Cost Comparison 5:07 - E-commerce Example 5:52 - Decision Framework 6:30 - What's Next --- 🔗 RESOURCES • Supabase Vector Database: https://supabase.com/features/vector-database • pgvector Extension: https://github.com/pgvector/pgvector • MTEB Leaderboard: https://huggingface.co/spaces/mteb/leaderboard • Supabase Edge Functions: https://supabase.com/docs/guides/functions --- 💬 DROP A COMMENT Which embedding solution would you choose for your next project—OpenAI or free Edge Functions? --- #supabase #vectordatabase #pgvector #ai #embeddings #rag #postgresql #pinecone #openai #semanticsearch #tutorial