Category: Agentic AI
Articles tagged Agentic AI
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.
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.
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.
Creating an LLM Agent newsroom with A2A protocol and MCP in Elasticsearch: Part I
Explore the concepts of A2A protocol and MCP within a practical newsroom example where specialized LLM agents collaborate to research, write, edit, and publish news articles.
Building a knowledge agent with semantic recall using Mastra and Elasticsearch
Learn how to build a knowledge agent with semantic recall using Mastra and Elasticsearch as a vector store for memory and information retrieval.
The impact of relevance in context engineering for AI agents
Discover how hybrid retrieval, semantic chunking, and agentic search improve LLM performance by managing context relevance efficiently.
Building agentic applications with Elasticsearch and Microsoft’s Agent Framework
Learn how to use Microsoft Agent Framework with Elasticsearch to build an agentic application that extracts ecommerce data from Elasticsearch client libraries using ES|QL.
Introducing Elastic Agent Builder
Introducing Elastic Agent Builder, a framework to easily build reliable, context-driven AI agents in Elasticsearch with your data.
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.
AI Agent evaluation: How Elastic tests agentic frameworks
Learn how we evaluate and test changes to an agentic system before releasing them to Elastic users to ensure accurate and verifiable results.
Creating an AI agent with n8n and MCP
Exploring how to build a trend analytics agent with n8n while leveraging the Elasticsearch MCP server.
