How to Use pgvector with Python: A Complete Guide

You've decided to use PostgreSQL for your vector embeddings. Smart move. Now you need to wire it up from Python - and if you've landed here, you've probably already noticed that there are a few different libraries involved, the syntax isn't immediately obvious, and the official pgvector docs give you the C extension but leave the Python story somewhat scattered. This guide covers the whole picture: installing the Python client, connecting with both psycopg3 and SQLAlchemy, storing and querying embeddings, building indexes, and wiring it up into a real RAG pipeline.