Category: AI

Articles tagged AI

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PythonAI

Evaluating your Elasticsearch LLM applications with Ragas

Assessing the quality of a RAG solution using Ragas metrics and Elasticsearch.

Jessica Garson
AI

Turbocharge your troubleshooting: Building a RAG application for appliance manuals with Elasticsearch

Learn how to build a RAG app using Elasticsearch to effortlessly troubleshoot your home appliance issues.

Alessandro Brofferio
AIRelevance

Building intelligent duplicate detection with Elasticsearch and AI

Explore how organizations can leverage Elasticsearch to detect and handle duplicates in loan or insurance applications.

Dayananda Srinivas
AI

LlamaIndex and Elasticsearch Rerankers: Unbeatable simplicity

Learn how to transition from Llamaindex RankGPT reranker to Elastic built-in semantic reranker.

Jeffrey Rengifo
KibanaAI

AI-powered dashboards: From a vision to Kibana

Generate a dashboard using an LLM to process an image and turn it into a Kibana Dashboard.

Jeffrey Rengifo
AI

Longer context ≠ better: Why RAG still matters

Learn why the RAG strategy is still relevant and gives the most efficient and better results.

Jeffrey Rengifo
AIAgentic AIJavascript

Building an agentic RAG assistant with JavaScript, Mastra and Elasticsearch

Learn how to build AI agents in the JavaScript ecosystem

JD Armada
AIAgentic AI

Building an MCP server with Elasticsearch for real health data

Learn learn how to build an MCP server using FastMCP and Elasticsearch to manage and search data.

Alex Salgado
AI

Improving Copilot capabilities using Elasticsearch

Discover how to use Elasticsearch with Microsoft 365 Copilot Chat and Copilot in Microsoft Teams.

Jeffrey Rengifo
AIVector Database

Elasticsearch open inference API adds support for IBM watsonx.ai rerank models

Explore how to use IBM watsonx™ reranking when building semantic search experiences in Elasticsearch.

Saikat Sarkar
AI

Using Azure LLM Functions with Elasticsearch for smarter query experiences

Explore an example real estate search app that uses Azure Gen AI LLM Functions with Elasticsearch to provide flexible hybrid search results. See step-by-step how to configure and run the example app in GitHub Codespaces.

Jonathan Simon
AI

The current state of MCP (Model Context Protocol)

Learn about MCP, project updates, features, security challenges, emerging use-cases, and how to tinker around with Elastic’s Elasticsearch MCP server.

JD Armada

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as you are. Let’s connect and work together to build the magical search experience that will get you the results you want.

Try it yourself