Building a RAG System with pgvector and FastAPI
A complete guide to building a Retrieval-Augmented Generation system using PostgreSQL pgvector, FastAPI, and embedding models for semantic search.
Over 15 years of experience in web development, server architecture, automation, and AI engineering. Focused on fast, scalable, and maintainable solutions for modern business needs.
From web development to AI integration — all your digital needs in one place.
FastAPI backend, Docker config, RAG pipeline, and automation used by real clients.
Real-world projects and ongoing services powered by modern technology.
End-to-end digital solutions tailored to your business needs.
Delivering reliable solutions with long-term partnerships.
Sharing experience, technical tips, and insights from real projects.
Let's discuss your project and find the best solution for your business.