Blogs
Insights de desenvolvedores e artigos práticos dos nossos experts para inspirar e fortalecer suas buscas
The Gemini CLI extension for Elasticsearch with tools and skills
Introducing Elastic’s extension for Google's Gemini CLI to search, retrieve, and analyze Elasticsearch data in developer and agentic workflows.
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.
Entity resolution with Elasticsearch, part 4: The ultimate challenge
Solving and evaluating entity resolution challenges in a highly diverse “ultimate challenge” dataset designed to prevent shortcuts.
The stateless architecture of Elasticsearch Serverless
Exploring the stateless architecture of Elasticsearch Serverless. Learn how the stateful architecture was transformed into stateless for Serverless.
Hybrid search with Java: LangChain4j Elasticsearch integration
Learn how to use hybrid search in LangChain4j via its Elasticsearch integrations, with a complete Java example.
SearchClaw: Bring Elasticsearch to OpenClaw with composable skills
Give your local AI agent access to Elasticsearch data using OpenClaw, composable skills, and agents, no custom code required.
Building effective database retrieval tools for context engineering
Best practices for writing database retrieval tools for context engineering. Learn how to design and evaluate agent tools for interacting with Elasticsearch data.
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.
Does MCP make search obsolete? Not even close
Explore why search engines and indexed search remain the foundation for scalable, accurate, enterprise-grade AI, even in the age of MCP, federated search, and large context windows.
Entity resolution with Elasticsearch, part 3: Optimizing LLM integration with function calling
Learn how function calling enhances LLM integration, enabling a reliable and cost-efficient entity resolution pipeline in Elasticsearch.
Using subagents and Elastic Agent Builder to bring business context into code planning
Learn about subagents, how to ensure they have the right information, and how to create a specialized subagent that connects Claude Code to your Elasticsearch data.
Adaptive early termination for HNSW in Elasticsearch
Introducing a new adaptive early termination strategy for HNSW in Elasticsearch.