Ranjana Devaji
Senior Product Marketing Manager, Generative AI & Search Platform
jina-clip-v2 brings text-to-image search across 89 languages to Elasticsearch, no GPU needed
Run multimodal search across 89 languages inside Elasticsearch with jina-clip-v2: one embedding space for text and images, with no separate model infrastructure to manage.
Build task-aware agents with an expanded model catalog on Elastic Inference Service (EIS)
Elastic Inference Service (EIS) expands its managed model catalog, enabling teams to build production-ready agents with flexible model choice across retrieval, generation, and reasoning, without managing GPUs or infrastructure.
jina-embeddings-v3 is now available on Elastic Inference Service
Introducing jina-embeddings-v3 on Elastic Inference Service (EIS) and explaining how to get started.
Semantic search, now multilingual by default
semantic_text now defaults to jina-embeddings-v5-text on Elastic Inference Service, enabling multilingual semantic search in Elasticsearch.
Jina Rerankers bring fast, multilingual reranking to Elastic Inference Service (EIS)
Elastic now offers jina-reranker-v2-base-multilingual and jina-reranker-v3 on EIS, enabling fast multilingual reranking directly in Elasticsearch for higher-precision retrieval, RAG, and agentic workflows without added infrastructure.