Vector Database

This article defines vector databases and explains how they store and retrieve unstructured data using mathematical embeddings to power modern artificial intelligence applications for startups.

Embeddings translate data into numbers to capture meaning, enabling startups to build smarter search and recommendation features without needing a data science degree.

RAG connects generative AI models to your specific data sources. It allows startups to build accurate AI tools without the high cost of model training.