Inside Elastic

How cross-project search (CPS) works in Elasticsearch Serverless

Elastic Cloud Serverless cross-project search (CPS) treats index expressions as cross-project by default. This post explains how TransportSearchAction scopes projects, resolves index expressions, skips projects with no matches, and validates index resolution against allow_no_indices and ignore_unavailable.

How cross-project search (CPS) works in Elasticsearch Serverless
Stop guessing which query is burning your cluster: Query activity in Kibana

April 28, 2026

Stop guessing which query is burning your cluster: Query activity in Kibana

Pinpoint long-running Elasticsearch searches from Kibana: live tasks, origin context, and cancel when the cluster allows without living in low-level APIs.

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector

Preconditioning Vectors: Making Elasticsearch VectorDB Better Binary Quantization work for every vector

Modern quantization techniques can hurt recall when using older models or embeddings that aren’t normally distributed. Learn how preconditioning fixes these vectors through random orthogonal projection, making BBQ more effective and recovering recall.

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

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.

Announcing read-only permissions for Kibana dashboards

March 26, 2026

Announcing read-only permissions for Kibana dashboards

Introducing read-only dashboards in Kibana, giving dashboard creators granular sharing controls to keep results accurate and protected from unwanted changes.

Building effective database retrieval tools for context engineering

Building effective database retrieval tools for context engineering

Best practices for writing database retrieval tools for context engineering. Learn how to design and evaluate agent tools for interacting with Elasticsearch data.

Build task-aware agents with an expanded model catalog on Elastic Inference Service (EIS)

Build task-aware agents with an expanded model catalog on Elastic Inference Service (EIS)

Elastic Inference Service (EIS) expands its managed model catalog, enabling teams to build production-ready agents with flexible model choice across retrieval, generation, and reasoning, without managing GPUs or infrastructure.

Does MCP make search obsolete? Not even close

Does MCP make search obsolete? Not even close

Explore why search engines and indexed search remain the foundation for scalable, accurate, enterprise-grade AI, even in the age of MCP, federated search, and large context windows.

Adaptive early termination for HNSW in Elasticsearch

Adaptive early termination for HNSW in Elasticsearch

Introducing a new adaptive early termination strategy for HNSW in Elasticsearch.

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