
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.

ES|QL in 9.2: Smart Lookup Joins and time-series support
Explore three separate updates to ES|QL in Elasticsearch 9.2: an enhanced LOOKUP JOIN for more expressive data correlation, the new TS command for time-series analysis, and the flexible INLINE STATS command for aggregation.

Introducing the ES|QL query builder for the Elasticsearch Ruby Client
Learn how to use the recently released ES|QL query builder for the Elasticsearch Ruby Client. A tool to build ES|QL queries more easily with Ruby code.

Introducing the ES|QL query builder for the Python Elasticsearch Client
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.

Using ES|QL COMPLETION + an LLM to write a Chuck Norris fact generator in 5 minutes
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.

Unify your data: Cross-cluster search with ES|QL is now generally available!
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.

Introducing a more powerful, resilient, and observable ES|QL in Elasticsearch 8.19 & 9.1
Exploring ES|QL enhancements in Elasticsearch 8.19 & 9.1, including built-in resilience to failures, new monitoring and observability capabilities, and more.

Timeline of ES|QL improvements
Let’s walk through the history of ES|QL and its improvements.

Geospatial distance search with ES|QL
Explore geospatial distance search in Elasticsearch Query Language (ES|QL), one of the most desired and useful features for improved ease of use and Open Geospatial Consortium (OGC) familiarity.

ES|QL in JavaScript: Leveraging Apache Arrow helpers
Learn how to use ES|QL with JavaScript Apache Arrow client helpers to analyze large data sets efficiently.

How we rebuilt autocomplete for ES|QL
Discover how we rearchitected an autocomplete engine for ES|QL to support language evolution instead of resisting it.
Ready to build state of the art search experiences?
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