Blogs

Entwickler-Einblicke und praktische Anleitungen von unseren Experten, um Ihr Sucherlebnis zu inspirieren und zu verbessern

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ES|QL in 9.2: Smart Lookup Joins and time-series support
Elasticsearch Labs

ES|QL in 9.2: Smart Lookup Joins and time-series support

Explore three separate updates to ES|QL in Elasticsearch 9.2: an enhanced LOOKUP JOIN for more expressive data correlation, the new TS command for time-series analysis, and the flexible INLINE STATS command for aggregation.

Tyler Perkins
Building a ChatGPT connector with Elasticsearch to query GitHub issues
Elasticsearch Labs

Building a ChatGPT connector with Elasticsearch to query GitHub issues

Learn how to build a custom ChatGPT connector and deploy an Elasticsearch MCP server that uses hybrid search to query internal GitHub issues.

Tomás Murúa
Developing an agentic RAG assistant using LangChain and Elasticsearch
Elasticsearch Labs

Developing an agentic RAG assistant using LangChain and Elasticsearch

Learn how to build an agentic rag news assistant using LangChain and Elasticsearch that answers queries about articles with adaptive routing.

Kirti Sodhi
Hybrid search without the headache: simplifying hybrid search with retrievers
Elasticsearch Labs

Hybrid search without the headache: simplifying hybrid search with retrievers

Explore how to simplify hybrid search in Elasticsearch with a multi-field query format for linear and RRF retrievers, and create queries with no previous knowledge about your Elasticsearch index.

Mike Pellegrini
Building an AI agent for HR with Elastic Agent Builder and GPT-OSS
Elasticsearch Labs

Building an AI agent for HR with Elastic Agent Builder and GPT-OSS

Discover how to build an AI agent that can answer natural language queries about your employee HR data using Elastic Agent Builder and GPT-OSS.

Tomás Murúa
Top Elastic Agent Builder projects and learnings from Cal Hacks 12.0
Elasticsearch Labs

Top Elastic Agent Builder projects and learnings from Cal Hacks 12.0

Explore the top Elastic Agent Builder projects from Cal Hacks 12.0 and dive into our technical takeaways on Serverless, ES|QL, and agent architectures.

JD Armada
Creating an LLM agent newsroom with A2A protocol and MCP in Elasticsearch: Part II
Elasticsearch Labs

Creating an LLM agent newsroom with A2A protocol and MCP in Elasticsearch: Part II

Discover how to build a specialized hybrid LLM agent newsroom using A2A Protocol for agent collaboration and MCP for tool access in Elasticsearch.

Justin Castilla
Getting started with Elastic Agent Builder and Microsoft Agent Framework
Elasticsearch Labs

Getting started with Elastic Agent Builder and Microsoft Agent Framework

Walk through the complete process of creating an agent with Elastic Agent Builder and then explore how to use the agent via the A2A protocol orchestrated with the Microsoft Agent Framework.

Jonathan Simon
You Know, for Context - Part III: The power of hybrid search in context engineering
Elasticsearch Labs

You Know, for Context - Part III: The power of hybrid search in context engineering

Discover how to use context engineering and hybrid search to improve AI output accuracy with aggregations, RBAC, and non-content signals.

Woody Walton
Implementing agentic search with observability to autotune relevance in Elasticsearch
Elasticsearch Labs

Implementing agentic search with observability to autotune relevance in Elasticsearch

Learn how to implement agentic search in Elasticsearch to automatically train a relevance model from logged user data.

Craig Angulo
You Know, for Context - Part II: Agentic AI and the need for context engineering
Elasticsearch Labs

You Know, for Context - Part II: Agentic AI and the need for context engineering

Learn how the evolution of LLMs towards agentic AI increases the need for context engineering to solve RAG context limits and memory management.

Woody Walton
How to build a multi-agent system using Elasticsearch and LangGraph
Elasticsearch Labs

How to build a multi-agent system using Elasticsearch and LangGraph

Discover how to build a multi-agent LLM system using Elasticsearch and LangGraph, and implement the reflection pattern for self-correcting agents powered by hybrid search and ELSER embeddings.

Alex Salgado