Vector Database
A vector database stores and searches data by meaning using embeddings, so you can find similar items instead of exact matches.
In Simple Terms
Think of it as a library that finds books by what they are about instead of just title or author.
Detailed Explanation
Vector databases index high-dimensional vectors (e.g. from embeddings) and support fast similarity search. They are the backbone of RAG and semantic search. When to use one: when you have embeddings and need fast nearest-neighbor search at scale. Common mistakes: using a vector DB for purely keyword search, or skipping indexing and then wondering why search is slow.
Related Terms
Natural Language Processing
Technology that helps computers understand, interpret, and manipulate human language.
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