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.
Connecting Elastic Agents to Gemini Enterprise via A2A protocol
Learn how to use Agent Builder to expose your custom Elastic Agent to external services like Gemini Enterprise with the A2A protocol.
Your first Elastic Agent: From a single query to an AI-powered chat
Learn how to use Elastic’s AI Agent builder to create specialized AI agents. In this blog, we'll be building a financial AI Agent.
Understanding chunking strategies in Elasticsearch
Learn the fundamentals of document chunking in Elasticsearch, compare different chunking strategies, and discover how your chunking choices impact search quality and relevance.
Building AI Agentic workflows with Elasticsearch
Learn about Agent Builder, a new AI layer in Elasticsearch that provides a framework for building AI agentic workflows, using hybrid search to provide agents with the context they need to reason and act.
Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch
Creating a small app to search video embeddings from TwelveLabs' Marengo model.
Hybrid search and semantic reranking with Elasticsearch and GCP
Learn how to build a complete hybrid search application with a semantic reranker using only GCP components and Elasticsearch.
Using LangExtract and Elasticsearch
Learn how to extract structured data from free-form text using LangExtract and store it as fields in Elasticsearch.
RAG with a map: Multimodal + geospatial in Elasticsearch
Combining multimodal RAG capabilities with core Elasticsearch features such as geospatial queries and lexical search.
MCP for intelligent search
Building an intelligent search system by integrating Elastic's intelligent query layer with MCP to enhance the generative efficacy of LLMs.
What is context engineering?
Have you heard of the new term context engineering, but aren't sure what it is? Join us as we explain what it is and how RAG with Elasticsearch can help.
Transforming data interaction: Deploying Elastic’s MCP server on Amazon Bedrock AgentCore Runtime for crafting agentic AI applications
Transform complex database queries into simple conversations by deploying Elastic's search capabilities on Amazon Bedrock AgentCore Runtime platform.