What is a vector database?


It stores embeddings — numeric fingerprints of text, images or audio — and lets you search by similarity.

When should you care


  • Semantic search

  • RAG pipelines for LLMs

  • Recommendation engines


    • Getting started


    Pick PostgreSQL with pgvector first. You likely already have it running. Move to dedicated engines only when you scale.