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Version: Latest

Embedding: BAAI/bge-large-en-v1.5

Check your docs version

These docs are for the new Anyscale design. If you started using Anyscale before April 2024, use Version 1.0.0 of the docs. If you're transitioning to Anyscale Preview, see the guide for how to migrate.


See the Hugging Face model page for more model details.

See Generate an embedding for how to use the embedding model with Anyscale Endpoints.

About this modelā€‹

Model name to use in API calls:


FlagEmbedding can map any text to a low-dimensional dense vector, which is useful for tasks like retrieval, classification, clustering, or semantic search. And it's also useful for vector databases for LLMs.

Model Developers: BAAI

InputĀ Models: input text only.

OutputĀ Models: embedding of the text only.

Maximum Input Length: 512

License: MIT