RAG with a map: Multimodal + geospatial in Elasticsearch

Take your multimodal RAG system to the next level by using Elastic’s geospatial search features. Learn how in this blog: go.es.io/3JponXG

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ES|QL query builder for Python Elasticsearch Client - Elasticsearch Labs Learn how to use the ES|QL query builder, a new Python Elasticsearch client feature that makes it easier to construct ES|QL queries using a familiar Python syntax.

Stop wrestling with ES|QL syntax.
The new Python query builder in the Elasticsearch client does the heavy lifting for you.
👉 Try it out on #ElasticSearchLabs

MCP for intelligent search

Learn how to build an intelligent search system that uses Elastic’s intelligent query layer with MCP to improve LLM generative capabilities in our latest blog: go.es.io/4onMLYs

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Discover how to integrate Vertex AI with Elasticsearch to create a RAG application

Discover how to integrate Vertex AI with Elasticsearch to create a RAG application! Follow this tutorial to configure a Gemini model and use it in Kibana's Playground: go.es.io/3ILBnXa

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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: go.es.io/46Sn63a

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Elastic connectors: Building Crawl4AI custom connector with LLMs - Elasticsearch Labs Learn how easy it is to build a custom Elastic connector using LLMs. We'll be creating a Crawl4AI connector for Elastic's Connector Framework.

Learn how easy it is to build a custom Elastic connector using LLMs and how we'll be creating a Crawl4AI connector for Elastic's Connector Framework: go.es.io/4nlmjyt

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Using FastAPI’s WebSockets and Elasticsearch to build a real-time app

Leverage your Python skills to build a real-time application using FastAPI WebSockets and Elasticsearch: go.es.io/4mPJEHT

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Elasticsearch semantic text vs. OpenSearch semantic field - Elasticsearch Labs Comparing Elasticsearch semantic text and OpenSearch semantic field in terms of simplicity, configurability, and efficiency.

We've compared Elasticsearch semantic text and OpenSearch semantic field in terms of simplicity, configurability, and efficiency. Check out the results: go.es.io/42JYLLs

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Elasticsearch index field: How to show fields of an index - Elasticsearch Labs Learn how to show fields of an Elasticsearch index using the _mapping and _search APIs, synthetic _source, runtime fields, and displaying sub-fields.

Discover all the ways to display fields in your Elasticsearch index—from mapping and search APIs to runtime fields and synthetic _source. Get insights into performance, structure, and control in our latest blog: go.es.io/3HZrvJj

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Elasticsearch plugin for UBI

From search queries and events to insights – here's how to analyze user behavior with the Elasticsearch UBI plugin: go.es.io/3K23phy

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Detect duplicates with AI and Elasticsearch - Elasticsearch Labs Explore how organizations can leverage Elasticsearch to detect and handle duplicates in loan or insurance applications.

Explore how organizations can leverage Elasticsearch to detect and handle duplicates in loan or insurance applications: go.es.io/3HSaeSg

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Cross-cluster search with ES|QL is GA - Elasticsearch Labs Cross-Cluster search with ES|QL is now GA! Query data across multiple clusters with a single, elegant query. Learn about its performance, resilience, and syntax.

Cross-Cluster search with ES|QL is now GA! Query data across multiple clusters with a single, elegant query. Learn more: go.es.io/47Coed8

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Elasticsearch Reranker & LlamaIndex RankGPT: Usage & examples - Elasticsearch Labs Learn about the Elasticsearch Reranker & LlamaIndex RankGPTs, how to use them, and how to transition to the Elastic semantic reranker.

Learn how to transition from Llamaindex RankGPT reranker to Elastic built-in semantic reranker in our latest blog: go.es.io/3JOyPaV

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Elasticsearch FastAPI: Building Elasticsearch APIs with FastAPI - Elasticsearch Labs Learn how to build an Elasticsearch API with FastAPI using Pydantic schemas and FastAPI background tasks, demonstrated with a practical example.

Build a secure Elasticsearch API with FastAPI! Discover how to hide your cluster, expose only typed search fields using Pydantic, and validate requests in our latest blog: go.es.io/4g7ynRt

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Elastic Cloud Made Simple: GCP Marketplace

Elastic Cloud made simple! Learn how to set up and deploy Elastic Cloud using Google Cloud Marketplace in minutes: go.es.io/47PQ3yH

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Elasticsearch made simple: GCP Google Compute Engine

Learn how to set up an Elasticsearch deployment on a Google Compute Engine VM instance with Kibana for search capabilities: go.es.io/4lL71S2

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RAG vs long context model LLM - Elasticsearch Labs Comparing RAG with just sending everything to a long context model and letting the LLM analyze the context and answer a question.

Learn why the RAG strategy is still relevant and gives the most efficient and better results: go.es.io/3UVAQV3

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Building an agentic RAG assistant with JavaScript, Mastra and Elasticsearch - Elasticsearch Labs Learn how to build AI agents in the JavaScript ecosystem

Build an agentic RAG assistant that provides tailored recs for your fantasy team using JavaScript, Mastra and Elasticsearch: go.es.io/3UCYHZu

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

Check out this step-by-step guide on how to build an MCP server using FastMCP and Elasticsearch to manage and search data: go.es.io/4o3vRPF

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Removing a node from an Elasticsearch cluster - Elasticsearch Labs Explaining how to remove a node from an Elasticsearch cluster.

Learn how to remove a node from your Elasticsearch cluster without data loss or performance hits. Find out more in this blog: go.es.io/3IEqc27

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How to use Azure LLM Functions with Elasticsearch - Elasticsearch Labs Try out the 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.

Dive into this step-by-step guide where we'll be using Azure LLM Functions with Elasticsearch for smarter query experiences: go.es.io/3TRvBW9

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Improving Copilot capabilities using Elasticsearch - Elasticsearch Labs Discover how to use Elasticsearch with Microsoft 365 Copilot Chat and Copilot in Microsoft Teams.

Discover how to improve Copilot capabilities using Elasticsearch by building a custom agent that will retrieve and utilize data in our latest blog: go.es.io/3IABq85

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Geospatial distance search with Elasticsearch ES|QL - Elasticsearch Labs Exploring geospatial distance search in Elasticsearch Query Language (ES|QL), one of the most desired and useful features in Elasticsearch's geospatial search and in ES|QL.

Check out this quick guide to geospatial distance search with ES|QL—plus how it compares to the SQL and Query DSL equivalents: go.es.io/3TNhYHt

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Get your Elasticsearch ingestion game to the next level by following these three tips: https://go.es.io/44yJtuF

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Unstructured data processing with NVIDIA NeMo Retriever, Unstructured, and Elasticsearch - Elasticsearch Labs Unstructured data processing with NV‑Ingest, Unstructured & Elastic

Ready, set, build! Discover how to create a scalable data pipeline for unstructured documents using @nvidia's NeMo Retriever, Unstructured Platform, and Elasticsearch in this blog: https://go.es.io/3ZMdqVg

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Meet the Linear Retriever—boost hybrid search with weighted scoring and MinMax normalization for more consistent rankings, and learn how to configure it for optimized pipelines: https://go.es.io/4nsXpxz

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Index templating in Elasticsearch: How to use composable templates - Elasticsearch Labs Exploring composable templates and how to create them.

Master composable templates in Elasticsearch! Discover how to create them in this blog: https://go.es.io/3GfdA0B

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Elasticsearch search by two fields - Elasticsearch Labs Exploring techniques for searching by two fields, including multi-match queries, bool queries, and query-time field boosting.

Searching across multiple fields in Elasticsearch is a common requirement in many apps. In this blog, explore various techniques for searching by two fields in order to create more accurate and relevant search results: https://go.es.io/3GgybS6

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retrieval-augmented-generation

RAG without the “AG”?

Take the LLM out of the equation by leveraging semantic search and ELSER to build your applications. Get started here: https://go.es.io/400keyq

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Build a powerful RAG workflow using LangGraph and Elasticsearch - Elasticsearch Labs In this blog, we will show you how to configure and customize the LangGraph Retrieval Agent Template with Elasticsearch to build a powerful RAG workflow for efficient data retrieval and AI-driven responses.

Build a powerful RAG workflow using @langchain.bsky.social's LangGraph and Elasticsearch.

Learn how to efficiently retrieve data and AI-driven responses by configuring & customizing LangGraph with Elasticsearch: https://go.es.io/4n2V5gm

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