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Nomic Embed Text v1.5
Nomic Embed Text v1.5 is an open-weight text embedding model that converts text into dense vector representations for semantic search, retrieval, clustering, and classification. It supports an 8,192-token context window and variable-dimension outputs via Matryoshka Representation Learning (MRL), released under Apache 2.0. Source: supabase.
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Context
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tokens
Max output
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tokens
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Identity
- Developer
- Hugging Face
- Openness
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- Modalities
- Sentence-similarity
- Release
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- Knowledge cutoff
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- API docs
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Pricing
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