How To

Search complex documents using Unstructured.io and Elasticsearch vector database
Generative AIHow ToIntegrations

Search complex documents using Unstructured.io and Elasticsearch vector database

Ingest and search complex proprietary documents with Unstructured and Elasticsearch vector database for RAG applications

Amy Ghate

Rishikesh Radhakrishnan

Hemant Malik

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Combining sparse, dense and geo fields
How To

Combining sparse, dense and geo fields

Learn how to combine multiple sparse, dense and geo fields in custom ways and what is the best way to do it?

Madhusudhan Konda

Playground: Experiment with RAG applications with Elasticsearch in minutes
Vector DatabaseHow ToGenerative AI

Playground: Experiment with RAG applications with Elasticsearch in minutes

Playground is a low code interface for developers to explore grounding LLMs of their choice with their own private data, in minutes.

Joe McElroy

Serena Chou

Building RAG with Llama 3 open-source and Elastic
IntegrationsHow ToGenerative AI

Building RAG with Llama 3 open-source and Elastic

Build a RAG system with Llama3 open source and Elastic.

Rishikesh Radhakrishnan

Enhancing Recommendations with Geo-Semantic Search in Elasticsearch
How ToVector Database

Enhancing Recommendations with Geo-Semantic Search in Elasticsearch

This blog provides a guide on using Elasticsearch's hybrid geo-semantic search capabilities to efficiently navigate and retrieve data from a diverse dataset of 2 million TripAdvisor reviews for personalized attraction recommendations.

Lily Adler

Simplifying data lifecycle management for data streams
How To

Simplifying data lifecycle management for data streams

Data streams can now be managed by a data stream property called lifecycle; a simple and resilient system that isolates you from having to reason about rollover or merging of indices, whilst allowing you to focus on the business-related aspects of the data lifecycle like downsampling and retention.

Andrei Dan

Storage wins for time-series data in Elasticsearch
Search AnalyticsHow To

Storage wins for time-series data in Elasticsearch

Learn more about our recent improvements in storage efficiency for metrics in Elasticsearch.

Martijn Van Groningen

Kostas Krikellas

How to Set Up LocalAI for GPU-Powered Text Embeddings in Air-Gapped Environments
Generative AIHow ToIntegrations

How to Set Up LocalAI for GPU-Powered Text Embeddings in Air-Gapped Environments

With LocalAI you can compute text embeddings in air-gapped environments. GPU support is available.

Valeriy Khakhutskyy

Elasticsearch piped query language, ES|QL, now generally available
How To

Elasticsearch piped query language, ES|QL, now generally available

Elasticsearch Query Language (ES|QL) is GA. Simplify your data investigations with an innovative piped query language powered by a new query engine, all from a single unified UI.

Costin Leau

George Kobar

Automatically updating your Elasticsearch index using Node.js and an Azure Function App
How To

Automatically updating your Elasticsearch index using Node.js and an Azure Function App

Learn how to use Node.js to keep your index current using an Azure Function App.

Jessica Garson