Data & Analytics Featured

pgvector

Semantic search inside Postgres itself — RAG without an extra database.

Claude Code Cursor Codex Windsurf

Overview

pgvector is a Postgres extension that stores embeddings and runs fast similarity search (HNSW indexes) — so semantic search and RAG live inside the database you already run: same tables, joins and backups. The agent adds the vector column and builds the pipeline from embedding to query.

The golden rule for most projects: start with pgvector before paying for a separate vector DB — you usually never need one.

Who Is This For?

Semantic search over content and products
RAG over your documents in your existing DB
Similarity recommendations (related items)
Hybrid filtering: vectors + normal SQL conditions

Installation

Setup for Claude Code

CREATE EXTENSION vector; -- then add a vector column and an HNSW index

Visit Source (GitHub)

Explore AI Tools

Discover the best AI tools that complement your skills

Read AI & Design Articles

Tips and trends in the world of design and AI

Related Servers

Data & Analytics

Sentry Error Tracking

Monitor errors and performance issues in production with Sentry. AI agents can triage alerts and suggest fixes based on stack traces.

Claude Code Cursor Copilot

Data & Analytics

PostHog Product Analytics

Track product usage, manage feature flags, and analyze user behavior with PostHog, an open-source product analytics platform.

Claude Code Cursor

Data & Analytics

Database Query Builder

Generate and optimize SQL queries with AI assistance. Build complex queries, analyze execution plans, and improve database performance.

Claude Code Codex Copilot