Elastic launches jina-embeddings-v5-text models on Elastic Inference Service

Reuters02-24 01:00
<a href="https://laohu8.com/S/ESTC">Elastic</a> launches jina-embeddings-v5-text models on Elastic Inference Service

Elastic NV announced the availability of jina-embeddings-v5-text, a family of two Elasticsearch-native multilingual embedding models with 0.2B and 0.6B parameters. The company said the models outperform larger 7B to 14B parameter models on key search and semantic tasks and deliver best-in-class results on the MMTEB benchmark among models of comparable size and purpose. The two models are jina-embeddings-v5-text-small (239M parameters) and jina-embeddings-v5-text-nano (677M parameters), and are optimized for retrieval, text matching, classification and clustering. Elastic said the models are available via Elastic Inference Service on Elastic Cloud Serverless and Elastic Cloud Hosted, and also through an online API and open-weight releases on HuggingFace for local hosting via vLLM, llama.cpp and MLX.

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