Text Embedding 3 Large
Higher-fidelity embeddings when retrieval quality matters.
A model a workspace can run · gbrain.io
OpenAI
Higher-fidelity embeddings when retrieval quality matters.
The larger OpenAI embedding model produces richer vectors (better recall on subtle or crowded corpora) at a higher per-token cost than the small model.
Best for: retrieval quality over cost.
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.