Category: AI Tools

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jina-ocr-v1: One OCR model for layout, tables, math and 100+ languages
Elasticsearch Labs

jina-ocr-v1: One OCR model for layout, tables, math and 100+ languages

jina-ocr-v1 scores 83.4 on olmOCR-bench with 570 million active parameters, the highest of any OCR model under 600 million, and it outscores GPT-5.2 on OmniDocBench.

Scott Martens
You and your AI agent shouldn't be using curl: Introducing the Elastic CLI and Agent Skills
Elasticsearch Labs

You and your AI agent shouldn't be using curl: Introducing the Elastic CLI and Agent Skills

Elastic CLI reaches every Elasticsearch, Kibana and Cloud API from one command, and it's what Elastic Agent Skills run on. Input is validated against a JSON Schema before anything leaves your machine, and API keys stay in your OS keychain.

Josh Mock
Know your facts: How Elasticsearch AI Indices let agents skip the reading and keep the answer
Elasticsearch Labs

Know your facts: How Elasticsearch AI Indices let agents skip the reading and keep the answer

A technical walkthrough of precomputing facts into an Elasticsearch AI Index, so agents answer from a single ES|QL query instead of reading whole documents, with fewer tokens and lower latency.

Kathleen DeRusso
Let the big model think, let the small model work: Splitting LLM costs in Elastic Workflows
Elasticsearch Labs

Let the big model think, let the small model work: Splitting LLM costs in Elastic Workflows

Build an Elastic workflow that sends a data sample to a large model to propose classification labels. A human signs off, then a smaller model applies them across the full corpus.

Jeffrey Rengifo
4 NVIDIA AI tasks, 1 Elasticsearch API: Embeddings, chat, completion, and rerank
Elasticsearch Labs

4 NVIDIA AI tasks, 1 Elasticsearch API: Embeddings, chat, completion, and rerank

Set up NVIDIA hosted models in Elasticsearch with one API key and a model ID. No custom integration code needed.

Jan Kazlouski
jina-clip-v2 brings text-to-image search across 89 languages to Elasticsearch, no GPU needed
Elasticsearch Labs

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.

Kapil Jadhav
Elastic Security, Observability, and Search now offer interactive UI in your AI tools
Elasticsearch Labs

Elastic Security, Observability, and Search now offer interactive UI in your AI tools

Elastic is the first security vendor to ship an interactive UI in AI Conversations, built on the MCP App standard that Anthropic and OpenAI co-authored. It launches alongside two other Elastic MCP Apps for Observability and Search.

David Elgut
Agent Skills for Elastic: Turn your AI agent into an Elastic expert
Elasticsearch Labs

Agent Skills for Elastic: Turn your AI agent into an Elastic expert

Give your AI coding agent the knowledge to query, visualize, secure, and automate with Elastic Agent Skills.

Graham Hudgins
Agent Builder, beyond the chatbox: Introducing Augmented Infrastructure
Elasticsearch Labs

Agent Builder, beyond the chatbox: Introducing Augmented Infrastructure

Learn about Elastic Agent Builder with Augmented Infrastructure, an AI agent that enables augmented operations, augmented development, and augmented synthetics.

Alexander Wert
Implementing an agentic reference architecture with Elastic Agent Builder and MCP
Elasticsearch Labs

Implementing an agentic reference architecture with Elastic Agent Builder and MCP

Explore an agentic reference architecture with Elastic Agent Builder, MCP, and semantic search to build a security agent for automated threat analysis.

Jeffrey Rengifo
Elastic MCP server: Expose Agent Builder tools to any AI agent
Elasticsearch Labs

Elastic MCP server: Expose Agent Builder tools to any AI agent

Discover how to use the built-in Elastic MCP server in Agent Builder to securely extend any AI agent with access to your private data and custom tools.

Jedr Blaszyk

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