Category: AI
Articles tagged AI
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
