AI: RAG app with Postgres DB

 Building a RAG application with GitHub Models and Postgres FROM SCRATCH - YouTube
@Visual Studio Code

Retrieval Augmented Generation (RAG) is a powerful technique to make your AI models even smarter - but how can you leverage it in your own applications? In this video, Pamela Fox breaks down the basics of RAG and shows you how to build your very own RAG app from scratch.

saving embeddings with PGVector extension to BD, from Python
with Code Spaces VSCode in web browser

GitHub - pamelafox/pgvector-playground: A dev container for using PostgreSQL + pgvector in Python, with SQLAlchemy, SQLModel, psycopg2, and asyncpg examples. @GitHub

Comparing main...demochanges · pamelafox/pgvector-playground · GitHub

Pamela Fox | LinkedIn

Intro to GraphRAG - YouTube @ Microsoft Reactor

What Is Retrieval-Augmented Generation aka RAG | NVIDIA Blogs

What is RAG? - Retrieval-Augmented Generation AI Explained - AWS

PostgreSQL as a Vector Database: Create, Store, and Query OpenAI Embeddings With pgvector