BAAI
BAAI: bge-large-en-v1.5
baai/bge-large-en-v1.5
The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks in English.
Input
$0.01
/ 1M tokens · Token reference
Output
$0
/ 1M tokens · Token reference
Context window
512
tokens
Embeddings output · Token reference fields do not establish an output-unit price.
Limits
Context
512
tokens
Max output
460
90% of the context window
Parameters
335,142,400
Model facts
Author
BAAI
Tokenizer
Other
Modality
Text -> Embeddings
License
MIT
Created
Nov 18, 2025
Hugging Face
BAAI/bge-large-en-v1.5
Publication status
Hugging Face: verifiedLicense: publishedParameter count: published
Modalities
Input · TextOutput · Embeddings