Text Embedding 3 Small
Inexpensive embeddings for search and retrieval.
A model a workspace can run · gbrain.io
OpenAI
Inexpensive embeddings for search and retrieval.
OpenAI’s small embedding model turns text into vectors for semantic search and retrieval. It’s inexpensive and metered on input tokens only: the workhorse behind a brain finding the right note.
Best for: general-purpose retrieval where cost matters.
Pick it per workspace from the model settings and switch any time. Inference is included in the plan, or bring a key of the team's own.