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.
Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Elastic NV published the original content used to generate this news brief via Business Wire (Ref. ID: 20260223625535) on February 23, 2026, and is solely responsible for the information contained therein.
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