类别: AI

标记为 AI 的文章

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Connecting Elastic Agents to Gemini Enterprise via A2A protocol
Elasticsearch Labs

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.

Jedr Blaszyk
Your first Elastic Agent: From a single query to an AI-powered chat
Elasticsearch Labs

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.

Jeff Vestal
Understanding chunking strategies in Elasticsearch
Elasticsearch Labs

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.

Alexander Dávila
Building AI Agentic workflows with Elasticsearch
Elasticsearch Labs

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.

Anish Mathur
Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch
Elasticsearch Labs

Using TwelveLabs’ Marengo video embedding model with Amazon Bedrock and Elasticsearch

Creating a small app to search video embeddings from TwelveLabs' Marengo model.

Dave Erickson
Hybrid search and semantic reranking with Elasticsearch and GCP
Elasticsearch Labs

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.

Jhon Guzmán
Using LangExtract and Elasticsearch
Elasticsearch Labs

Using LangExtract and Elasticsearch

Learn how to extract structured data from free-form text using LangExtract and store it as fields in Elasticsearch.

Jeffrey Rengifo
RAG with a map: Multimodal + geospatial in Elasticsearch
Elasticsearch Labs

RAG with a map: Multimodal + geospatial in Elasticsearch

Combining multimodal RAG capabilities with core Elasticsearch features such as geospatial queries and lexical search.

Alexander Dávila
MCP for intelligent search
Elasticsearch Labs

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.

Sunile Manjee
What is context engineering?
Elasticsearch Labs

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.

Carly Richmond
Transforming data interaction: Deploying Elastic’s MCP server on Amazon Bedrock AgentCore Runtime for crafting agentic AI applications
Elasticsearch Labs

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.

Udayasimha Theepireddy
Using ES|QL COMPLETION + an LLM to write a Chuck Norris fact generator in 5 minutes
Elasticsearch Labs

Using ES|QL COMPLETION + an LLM to write a Chuck Norris fact generator in 5 minutes

Discover how to use the ES|QL COMPLETION command to turn your Elasticsearch data into creative output using an LLM in just a few lines of code.

Aurélien Foucret

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