Vector databases
Vector databases covers databases that store embeddings and find the closest matches.
In brief
Vector databases, in brief.
What it isVector databases covers databases that store embeddings and find the closest matches.
Where it sitsOne of 11 categories in the Retrieval layer. Retrieval is how an AI system finds the right information at the moment it needs it: web search APIs, vector databases, full-text search engines, crawlers, and the frameworks that tie them into an answer.
What we track38 products, including Amazon OpenSearch Service (vector engine), Amazon S3 Vectors, Astra DB, Azure AI Search and Chroma.
The products
38 products in Vector databases.
Each name opens a search for that product in our index.
ProductMakerIts own site
From our census of 2026-11-08. A product listed here is one that belongs in this category; the search answer says whether we have checked it.
Questions
Vector databases, answered.
What is Vector databases in AI infrastructure?Vector databases covers databases that store embeddings and find the closest matches.
Which layer of AI infrastructure is Vector databases in?Vector databases is in the Retrieval layer. Retrieval is how an AI system finds the right information at the moment it needs it: web search APIs, vector databases, full-text search engines, crawlers, and the frameworks that tie them into an answer.
Which products are in Vector databases?We track 38 products in Vector databases, including Amazon OpenSearch Service (vector engine), Amazon S3 Vectors, Astra DB, Azure AI Search, Chroma, ClickHouse (vector search), Cloudflare Vectorize and Couchbase (vector search). The full list is on this page.
Retrieval