Blogs

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Building a local RAG personal knowledge assistant with LocalAI and Elasticsearch
Elasticsearch Labs

Building a local RAG personal knowledge assistant with LocalAI and Elasticsearch

Learn how to create a private, offline local RAG personal knowledge assistant that can summarize meetings and internal reports using e5-small for embeddings and dolphin3.0-qwen2.5-0.5b for completions in Elasticsearch.

Jeffrey Rengifo
Boosting e-commerce search by profit and popularity with the function score query in Elasticsearch
Elasticsearch Labs

Boosting e-commerce search by profit and popularity with the function score query in Elasticsearch

Discover how to optimize e-commerce search by blending BM25 relevance with profit margin and popularity signals in Elasticsearch using the function_score query.

Alexander Marquardt
Reducing Elasticsearch frozen tier costs with Deepfreeze S3 Glacier archival
Elasticsearch Labs

Reducing Elasticsearch frozen tier costs with Deepfreeze S3 Glacier archival

Learn how to leverage Deepfreeze in Elasticsearch to automate searchable snapshot repository rotation, retaining historical data and aging it into lower cost S3 Glacier tiers after index deletion.

Bret Wortman
Getting started with Elastic Agent Builder and Strands Agents SDK
Elasticsearch Labs

Getting started with Elastic Agent Builder and Strands Agents SDK

Learn how to create an agent with Elastic Agent Builder and then explore how to use the agent via the A2A protocol orchestrated with the Strands Agents SDK.

Jonathan Simon
Introducing Elasticsearch support in the Google MCP Toolbox for Databases
Elasticsearch Labs

Introducing Elasticsearch support in the Google MCP Toolbox for Databases

Explore how Elasticsearch support is now available in the Google MCP Toolbox for Databases and leverage ES|QL tools to securely integrate your index with any MCP client.

Enrico Zimuel
Evaluating search query relevance with judgment lists
Elasticsearch Labs

Evaluating search query relevance with judgment lists

Explore how to build judgment lists to objectively evaluate search query relevance and improve performance metrics such as recall, for scalable search testing in Elasticsearch.

Jhon Guzmán
How to improve e-commerce search relevance with personalized cohort-aware ranking
Elasticsearch Labs

How to improve e-commerce search relevance with personalized cohort-aware ranking

Improve e-commerce search relevance with explainable, cohort-aware ranking in Elasticsearch. Learn how multiplicative boosting delivers stable, predictable personalization at query time.

Alexander Marquardt
AutoOps in action: Investigating Elasticsearch cluster performance on ECK
Elasticsearch Labs

AutoOps in action: Investigating Elasticsearch cluster performance on ECK

Explore how Elastic's InfoSec team implemented AutoOps in a multi-cluster ECK environment, cutting cluster performance investigation time from 30+ minutes to five minutes.

Aram Favela
How excessive replica counts can degrade performance, and what to do about it
Elasticsearch Labs

How excessive replica counts can degrade performance, and what to do about it

Learn about the impact of high replica counts in Elasticsearch, and how to ensure cluster stability by right-sizing your replicas.

Alexander Marquardt
Build a financial AI search workflow using LangGraph.js and Elasticsearch
Elasticsearch Labs

Build a financial AI search workflow using LangGraph.js and Elasticsearch

Learn how to use LangGraph.js with Elasticsearch to build an AI-powered financial search workflow that turns natural language queries into dynamic, conditional filters for investment and market analysis.

Jeffrey Rengifo
Improving Kibana dashboard interactivity with variable controls
Elasticsearch Labs

Improving Kibana dashboard interactivity with variable controls

Discover how to use variable controls in Kibana 8.18+ to filter individual visualizations, adjust time intervals, and group by different fields in Kibana dashboards.

Teresa Alvarez Soler
Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2
Elasticsearch Labs

Up to 12x Faster Vector Indexing in Elasticsearch with NVIDIA cuVS: GPU-acceleration Chapter 2

Discover how Elasticsearch achieves nearly 12x higher indexing throughput with GPU-accelerated vector indexing and NVIDIA cuVS.

Chris Hegarty