Category: AI

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LLM tracing in Elastic APM: prompts, responses, and token counts in the span view

In a twenty-call agentic trace, you can see which span is using the most tokens and read the prompt that caused it. Both live in Elastic APM, so there is no second tool to run.

Jenny Pavlova

Building context in Elasticsearch: how AI Indices power smarter agents using fewer tokens

Store AI agent context in an AI Index and power smarter agents using fewer tokens. Step-by-step walkthrough with ES|QL and Kibana Workflows included.

Kathleen DeRusso

Short queries, formal documents: how HyDE improved semantic search precision by 50% in Elasticsearch

HyDE boosts semantic search precision and recall by 50% on short queries. Here's how to implement it in Elasticsearch with the Inference API and semantic_text.

Jeffrey Rengifo

Who grades the grader? LLM-as-a-Judge inside Elasticsearch Workflows

Find out if your RAG agent is ready to ship. Score it on correctness, faithfulness and retrieval quality using only Elasticsearch Workflows and two Claude models.

Jeffrey Rengifo

Elasticsearch DiskBBQ delivers 7x faster vector search than Qdrant on network-attached storage

Elasticsearch DiskBBQ achieves up to 7x higher vector search throughput than Qdrant at comparable recall on network-attached storage. Explore the benchmark methodology and full results.

Sachin Frayne

Your FAQ bot doesn't need a PhD: LLM query routing with Elastic Workflows

Route LLM queries by complexity using Elasticsearch search metadata: Mistral Small for FAQ questions, Claude Sonnet for multi-source synthesis.

Jeffrey Rengifo

Your search index is already an agent memory system: Persistent agent memory for Claude Code with Elasticsearch

Give your AI agent persistent cross-session memory using Elasticsearch: Hybrid recall, a knowledge graph, and cross-device handoffs. Three commands to install.

Jeff Vestal

Describe it, don't draw it: AI-native Kibana dashboards via MCP and ES|QL

From prompt to dashboard. Learn how to build Kibana dashboards with natural language, using example-mcp-dashbuilder: an open source MCP application that writes ES|QL queries, creates interactive charts and exports fully functional dashboards directly to Kibana.

Entity resolution with Elasticsearch, part 4: The ultimate challenge

Solving and evaluating entity resolution challenges in a highly diverse “ultimate challenge” dataset designed to prevent shortcuts.

Jessica Moszkowicz

Entity resolution with Elasticsearch, part 3: Optimizing LLM integration with function calling

Learn how function calling enhances LLM integration, enabling a reliable and cost-efficient entity resolution pipeline in Elasticsearch.

Jessica Moszkowicz

Entity resolution with Elasticsearch & LLMs, Part 2: Matching entities with LLM judgment and semantic search

Using semantic search and transparent LLM judgment for entity resolution in Elasticsearch.

Jessica Moszkowicz

Better text analysis for complex languages with Elasticsearch and neural models

Using neural models and the Elasticsearch inference API to improve search in Hebrew, German, Arabic, and other morphologically complex languages.

Noam Schwartz