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Vector Databases: Pinecone, Weaviate & pgvector · Lesson

Setting Up pgvector Extension

Install and configure the pgvector extension to add vector data types and functions to PostgreSQL.

Meet pgvector: Vector Power

Welcome to pgvector! This powerful extension brings vector database capabilities directly to your PostgreSQL database.

Why is this cool? It means you can store, index, and query vector embeddings alongside your traditional data, all within the familiar PostgreSQL environment. No need for a separate vector database for simple cases!

Why Use pgvector?

pgvector is perfect for adding semantic search, recommendation systems, and AI features to applications that already use PostgreSQL.

  • Simplicity: Use your existing database skills.
  • Integration: Vectors live with your other data.
  • Cost-Effective: Often cheaper than dedicated vector databases for smaller scales.

All lessons in this course

  1. Setting Up pgvector Extension
  2. Storing Vectors in PostgreSQL
  3. Performing Similarity Queries
  4. Choosing Distance Metrics in pgvector
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