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models34d ago
Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality
IBM released Granite Embedding Multilingual R2 under Apache 2.0, offering 32K context and sub-100M retrieval quality. This open multilingual embedding model supports 100+ languages and targets builders seeking high-quality, locally deployable embeddings. The model's performance makes it suitable for applications requiring low-latency, high-accuracy retrieval.
Key takeaways
- 32K context window for handling long input sequences.
- Sub-100M retrieval quality benchmark achieved.
- Supports 100+ languages for multilingual applications.
models34d ago
Granite Embedding Multilingual R2: Open Apache 2.0 Multilingual Embeddings with 32K Context — Best Sub-100M Retrieval Quality
IBM released Granite Embedding Multilingual R2 under Apache 2.0, offering 32K context and sub-100M retrieval quality. This open multilingual embedding model supports 100+ languages and targets builders seeking high-quality, locally deployable embeddings. The model's performance makes it suitable for applications requiring low-latency, high-accuracy retrieval.
Key takeaways
- 32K context window for handling long input sequences.
- Sub-100M retrieval quality benchmark achieved.
- Supports 100+ languages for multilingual applications.