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langcache-embed-v1

langcache-embed-v1 is an open-source sentence-similarity model available on HuggingFace. Details are sourced from the public model registry.

Last reviewed

Use cases

  • Building sentence-similarity applications
  • Research and experimentation
  • Open-source AI prototyping

Pros

  • Open weights available
  • Community support on HuggingFace

Cons

  • Requires manual evaluation for production use
  • Licensing terms vary — check model card

FAQ

What is langcache-embed-v1 used for?

Building sentence-similarity applications. Research and experimentation. Open-source AI prototyping.

Is langcache-embed-v1 free to use?

langcache-embed-v1 is an open-source model published on HuggingFace. License terms vary by model — check the model card for the specific license.

How do I run langcache-embed-v1 locally?

Most HuggingFace models can be loaded with transformers or the appropriate framework library. See the model card for framework-specific instructions and hardware requirements.

Tags

sentence-transformersonnxsafetensorsopenvinomodernbertsentence-similarityloss:OnlineContrastiveLossarxiv:2504.02268arxiv:1908.10084base_model:Alibaba-NLP/gte-modernbert-basebase_model:quantized:Alibaba-NLP/gte-modernbert-basemodel-indextext-embeddings-inferenceendpoints_compatibleregion:us