Blogs

Developer insights and practical how-to articles from our experts to inspire and empower your search experience

How we built Elasticsearch simdvec to make vector search one of the fastest in the world

How we built Elasticsearch simdvec, the hand-tuned SIMD kernel library behind every vector search query in Elasticsearch.

How we built Elasticsearch simdvec to make vector search one of the fastest in the world
Jina embeddings v3 now available on Gemini Enterprise Agent Platform Model Garden

April 22, 2026

Jina embeddings v3 now available on Gemini Enterprise Agent Platform Model Garden

Jina search foundation model, jina-embeddings-v3, is now self-deployable on Gemini Enterprise Agent Platform Model Garden, with more to follow. Run jina-embeddings-v3 on a single L4 GPU inside your own VPC.

Elastic Security, Observability, and Search now offer interactive UI in your AI tools

April 21, 2026

Elastic Security, Observability, and Search now offer interactive UI in your AI tools

Elastic is the first security vendor to ship an interactive UI in AI Conversations, built on the MCP App standard that Anthropic and OpenAI co-authored. It launches alongside two other Elastic MCP Apps for Observability and Search.

Introducing unified API keys for Elastic Cloud Serverless and Elasticsearch

Introducing unified API keys for Elastic Cloud Serverless and Elasticsearch

Learn how Elastic unified control plane and data plane authentication in Serverless with a globally distributed IAM architecture. Use one API key for Cloud and Elasticsearch APIs.

Fast approximate ES|QL - part II

April 17, 2026

Fast approximate ES|QL - part II

Explaining the approach we use to obtain fast approximate ES|QL queries and the testing we did of error estimation.

Fast approximate ES|QL - part I

April 16, 2026

Fast approximate ES|QL - part I

Introducing the work we've done on a fast approximate querying mode for ES|QL. In many cases, it allows us to achieve orders of magnitude latency reductions while providing accurate estimates.

Is your ML job's datafeed losing a race it cannot win?

April 15, 2026

Is your ML job's datafeed losing a race it cannot win?

Learn how switching from scroll-based to aggregation-based datafeeds optimizes machine learning jobs for large-scale deployments.

How big is too big? Elasticsearch sizing best practices

How big is too big? Elasticsearch sizing best practices

There’s no hard size limit in Elasticsearch, but there are clear signals you've outgrown your setup. Learn how to size shards, manage node limits, choose storage by tier, and use AutoOps to catch problems before they happen.

New ES|QL plugin for IntelliJ IDEA

April 13, 2026

New ES|QL plugin for IntelliJ IDEA

Build and run ES|QL queries in your IDE with the new plugin for IntelliJ IDEA.

Ready to build state of the art search experiences?

Sufficiently advanced search isn’t achieved with the efforts of one. Elasticsearch is powered by data scientists, ML ops, engineers, and many more who are just as passionate about search as you are. Let’s connect and work together to build the magical search experience that will get you the results you want.

Try it yourself