Vector Database

Technical meaning. A vector database stores embeddings so software can find items with similar meaning quickly.

Why it matters. A database built to find similar meanings, not just exact matches.

Where people see it. You see vector databases in AI search products, knowledge bases, recommendation systems, and RAG architectures.

Small business example. A company might store product docs as vectors so an assistant can find the most relevant passages.

Mistake to avoid. Do not add a vector database before you know what content needs to be searched and how results will be checked.

Related terms. Data Pipeline, CRM Automation, AI Readiness.