Category: Inside Elastic

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Configuring recursive chunking for structured documents in Elasticsearch

Learn how to configure recursive chunking in Elasticsearch with chunk size, separator groups, and custom separator lists for optimal structured document indexing.

Daniel Rubinstein

Context engineering using Mistral Chat completions in Elasticsearch

Learn how to utilize context engineering with Mistral Chat completions in Elasticsearch to ground LLM responses in domain-specific knowledge for accurate outputs.

Ugo Sangiorgi

A new era for Elastic Discover: ES|QL, context & multi-tabs

Learn about the evolution of Elastic's Discover, covering ES|QL integration, context-aware querying, multi-exploration tabs, and the new CRUD experience in 9.2.

Ninoslav Miskovic

Low-memory benchmarking in DiskBBQ and HNSW BBQ

Benchmarking Elasticsearch latency, indexing speed, and memory usage for DiskBBQ and HNSW BBQ in low-memory environments.

John Wagster

Semantic search with GPU inference in Elastic

Learn how Elastic's EIS leverages GPU inference and ELSER to power fast, accurate semantic search.

Sean Handley

Introducing a new vector storage format: DiskBBQ

Introducing DiskBBQ, an alternative to HNSW, and exploring when and why to use it.

Benjamin Trent

Elastic's Kibana navigation refresh in 9.2 from user feedback

Learn how the Elastic team made it easier to navigate in Kibana 9.2 with an on-hover menu access, a visible menu in collapsed mode, and icon-driven navigation.

Alex Marhaba

Elasticsearch Inference API adds open customizable service

Learn how to leverage the new custom service integration with the Elasticsearch Open Inference API for seamless REST API model integration.

Jonathan Buttner

Multi-tenancy in Elastic Cloud on Kubernetes deployments: Example architectures

Explore architectural strategies for multi-tenancy ECK deployments, including soft vs hard multi-tenancy, Kubernetes isolation, and Elastic operator considerations.

Lorenzo Soligo

Experiments in improving Agentic AI tools for Elasticsearch

Learn how we improved AI agent workflows for Elasticsearch through iterative experiments by combining linear retrievers, hybrid search, and semantic_text for scalable RAG optimization.

Sean Story

Your first Elastic Agent: From a single query to an AI-powered chat

Learn how to use Elastic’s AI Agent builder to create specialized AI agents. In this blog, we'll be building a financial AI Agent.

Jeff Vestal

Building AI Agentic workflows with Elasticsearch

Learn about Agent Builder, a new AI layer in Elasticsearch that provides a framework for building AI agentic workflows, using hybrid search to provide agents with the context they need to reason and act.

Anish Mathur