Supabase
Last updated
What is Supabase?
Supabase Vector is an extension of the Supabase platform, specifically designed for AI and machine learning applications that require vector operations. It leverages PostgreSQL's pgvector extension to provide efficient vector storage and similarity search capabilities. This makes Supabase Vector particularly useful for applications involving embeddings, semantic search, and recommendation systems. With Supabase Vector, developers can store and query high-dimensional vector data alongside regular relational data, all within the same PostgreSQL database.
Free resources to learn Supabase
- Official docsSupabase Vector
- VideoSupabase Vector: The Postgres Vector database
More in stage 14: What are RAGs?
Supabase: common questions
Can I learn Supabase in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Supabase in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Supabase tutorial for beginners?
It is lesson 103 of 189 in the free AI Engineer roadmap, in stage 14, What are RAGs?. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.