Embedding: BAAI/bge-large-en-v1.5
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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 model
Model name to use in API calls:
BAAI/bge-large-en-v1.5
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
Input Models: input text only.
Output Models: embedding of the text only.
Maximum Input Length: 512
License: MIT