#vector-database

Embeddings are the backbone of modern AI applications — from search to recommendations to RAG systems. This technical guide covers everything from theory to production Python code.

RAG is the technology that lets AI answer questions about YOUR data. Here's a complete tutorial — from concept to working code — that anyone with basic programming knowledge can follow.

In the age of information overload, the need for effective search and retrieval systems has never been more critical. Traditional keyword-based search methods often fall short when it comes to understanding the context and nuances of language. Enter Vectorize, a groundbreaking new Retrieval-Augmented Generation (RAG) engine that revolutionizes the way we approach semantic search, embeddings, and…