This is a cache of https://www.elastic.co/search-labs/blog/category/how-to. It is a snapshot of the page at 2025-07-12T01:14:21.205+0000.
How To - Elasticsearch Labs

How To

July 11, 2025

Longer context ≠ Better: Why RAG still matters

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

Longer context ≠ Better: Why RAG still matters
Elasticsearch string contains substring: Advanced query techniques

July 8, 2025

Elasticsearch string contains substring: Advanced query techniques

Explore techniques for querying Elasticsearch to find documents where a field contains a specific substring.

Efficient pagination with collapse and cardinality in Elasticsearch

Efficient pagination with collapse and cardinality in Elasticsearch

Deduplicating product variants in Elasticsearch? Here’s how to determine the correct pagination.

Building an MCP server with Elasticsearch for real health data

June 26, 2025

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.

Ruby scripting in Logstash

June 24, 2025

Ruby scripting in Logstash

Learn about the Logstash Ruby filter plugin for advanced data transformation in your Logstash pipeline.

Removing a node from an Elasticsearch cluster

June 20, 2025

Removing a node from an Elasticsearch cluster

Explaining how to remove a node from an Elasticsearch cluster.

ECK made simple: Deploying Elasticsearch on GCP GKE Autopilot

June 19, 2025

ECK made simple: Deploying Elasticsearch on GCP GKE Autopilot

Learn how to deploy an Elasticsearch cluster on GCP using GKE Autopilot and ECK.

Improving Copilot capabilities using Elasticsearch

Improving Copilot capabilities using Elasticsearch

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

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

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

Exploring how to use IBM watsonx™ reranking when building search experiences in the Elasticsearch vector database.

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