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BGE Multilingual Gemma 2

baai
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BAAI's bge-multilingual-gemma2 is a compact multilingual text embedding model built on Gemma 2, trained across 100+ languages with an 8,192-token input window. It returns a 3,584-dimension dense vector.

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Capabilities
OVHcloud
ovhcloud-byok
$0
$0
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API & code

Embeddings API

/api/v1/embeddings

Generate embedding vectors for search, RAG, and clustering.

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BGE Multilingual Gemma 2 share card
BGE Multilingual Gemma 2
OVHcloud upstream share card
OVHcloud upstream
Credits
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Run BGE Multilingual Gemma 2 on your own key — your requests are billed by the provider. Pool callers pay AnyRouter credits.

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Embedding vectors
Vector dimensions3,584
Max input8,192 tokens
Price$0.01 / 1M tokens
Request parameters
inputmodelencoding_format
ArchitectureTransformer
Categoryembedding
ReleasedJul 25, 2024
Modalities
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Capabilities
Embeddings are fixed-length vectors — compare them with cosine similarity for semantic search, RAG retrieval, clustering, and deduplication. Embed queries and documents with the same model, or the distances are meaningless.
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