Jina AI

February 24, 2026

Build a "chat with your website data" agent with Jina Embeddings v5 and Elasticsearch

Learn how to build a working, grounded "chat with your website" experience in under an hour by using Elasticsearch Serverless, Jina Embeddings v5, Elastic Open Web Crawler, and Elastic Agent Builder.

Build a "chat with your website data" agent with Jina Embeddings v5 and Elasticsearch
jina-embeddings-v5-text: Compact state-of-the-art text embeddings for search and intelligent applications

February 23, 2026

jina-embeddings-v5-text: Compact state-of-the-art text embeddings for search and intelligent applications

Introducing jina-embeddings-v5-text models, including jina-embeddings-v5-text-small and jina-embeddings-v5-text-nano, and explaining how to use these multilingual embedding models via Elastic Inference Service (EIS).

jina-vlm: Seeing like an AI with vision language models

February 9, 2026

jina-vlm: Seeing like an AI with vision language models

Learn about vision language models (VLMs), what jina-vlm can do, how to use it, and best practices.

Jina Rerankers bring fast, multilingual reranking to Elastic Inference Service (EIS)

February 3, 2026

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.

jina-embeddings-v3 is now available on Elastic Inference Service

January 12, 2026

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.

An introduction to Jina models, their functionality, and uses in Elasticsearch

January 1, 2026

An introduction to Jina models, their functionality, and uses in Elasticsearch

Explore Jina multimodal embeddings, Reranker v3, and semantic embedding models, and how to use them natively in Elasticsearch.

NeurIPS 2025 highlights: From model merging to deep learning for code

NeurIPS 2025 highlights: From model merging to deep learning for code

Explore our NeurIPS 2025 highlights on model merging, task vectors, and VLM dynamics, plus our DL4C workshop presentation on Jina code embeddings.

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