Reference · Glossary
Embedding model
Last updated
A model that turns text into **fixed-size vectors** for similarity search — not for chat completions.
When to use
RAG indexes, deduplication, clustering, semantic search.
When not to
Open-ended chat — use a chat/completion model instead.
Example
`text-embedding-3-small` maps each chunk to a vector stored in your vector DB.