Supabase Vectors
Spicy — senior dev territoryCloud & Infra
ELI5 — The Vibe Check
Supabase Vectors lets you store AI embeddings (those big arrays of numbers representing meaning) directly in Postgres using pgvector. Then you can ask 'find me rows semantically similar to this text' and Postgres answers. Semantic search without a separate vector database.
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Related Terms
Embedding
An embedding is turning words, sentences, or entire documents into lists of numbers (vectors) that capture their meaning.
intermediateAI & ML
RAG (Retrieval Augmented Generation)
RAG is how you give an AI access to your private documents without retraining it.
intermediateAI & ML
Vector Database
A vector database is a special database built to store and search embeddings.
intermediateAI & ML