How to Choose a Vector Database?
Introduction Vector databases (or vector stores) are specialized database systems designed to store, manage, and efficiently query high-dimensional vector embeddings. Unlike traditional databases that excel at exact matching, vector databases are optimized for similarity search—finding items that are conceptually similar rather than identical. These databases have become a critical component in the machine learning ecosystem, particularly for applications like semantic search, recommendation systems, and Retrieval Augmented Generation (RAG) pipelines with large language models. ...