pgvector

A comprehensive guide to building a production-ready Retrieval-Augmented Generation (RAG) system using Claude, Postgres with pgvector, and FastAPI, focusing on speed, reliability, and cost-efficiency.

Discover why 90% of your RAG or semantic search quality depends on upstream data processing rather than the specific embedding model you choose.

A technical deep dive into modernizing legacy computer vision systems into agentic AI assistants using PostgreSQL, Redis Pub/Sub, and high-performance LLM APIs.