BGE Large v1.5
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Summary: BGE Large 1.5 is a high-performance English-focused embedding model that transforms text into precise 1024-dimensional vector representations, achieving an impressive MTEB score of 64.23. This model excels in semantic search, document retrieval, similarity comparison, and clustering applications, making it ideal for building sophisticated search engines, recommendation systems, and knowledge management platforms where accurate English text understanding and retrieval are critical.
Intelligence
Speed
Sovereignty
Input
Output
High
Medium
Medium
Text
Number Vector
Central parameters
Description: Embedding model developed by Beijing Academy of Artificial Intelligence, producing 1024-dimensional vectors from English text.
Model identifier: BAAI/bge-large-en-v1.5
IONOS AI Model Hub Lifecycle and Alternatives
IONOS Launch
End of Life
Alternative
Successor
Origin
Technology
Input Length
Parameters
Tensor Type
Multilingual
8192
335M
float
Yes
Modalities
Text
Image
Audio
Input and output
Not supported
Not supported
Endpoints
Chat Completions
Embeddings
Image generation
Not supported
v1/embeddings
Not supported
Features
Streaming
Tool calling
Not supported
Not supported
Rate limits
Rate limits ensure fair usage and reliable access to the AI Model Hub. In addition to the contract-wide rate limits, no model-specific limits apply.
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