Adding Semantic Search to Your Postgres App with pgvector

📰 Dev.to · Ryan Carter

Learn to add semantic search to your Postgres app using pgvector, enabling vector similarity search and improving query performance.

intermediate Published 28 Apr 2026

Action Steps

Install the pgvector extension using the CREATE EXTENSION statement
Add a vector column to an existing table in your Postgres database
Generate embeddings for your data using a suitable method
Use cosine similarity queries to search for similar vectors
Optimize query performance using HNSW indexing

Who Needs to Know This

Developers and data engineers working with Postgres databases can benefit from this tutorial to enhance their application's search functionality and improve user experience.

Key Insight

💡 pgvector allows you to run semantic queries directly against your application data without needing a separate vector store.