Category: Agentic AI
Articles tagged Agentic AI
Know your facts: How Elasticsearch AI Indices let agents skip the reading and keep the answer
A technical walkthrough of precomputing facts into an Elasticsearch AI Index, so agents answer from a single ES|QL query instead of reading whole documents, with fewer tokens and lower latency.
Let the big model think, let the small model work: Splitting LLM costs in Elastic Workflows
Build an Elastic workflow that sends a data sample to a large model to propose classification labels. A human signs off, then a smaller model applies them across the full corpus.
Ask the source: Scaling code search to a billion lines with Elasticsearch and Elastic Agent Builder
Sourcerer matches Claude Code and Codex on code retrieval quality and searches up to thousands of times faster than grep. Every answer links back to the exact files and lines across repos and versions.
Your AI agent doesn't need your API key: OAuth 2.1 for Elasticsearch MCP server authentication
OAuth 2.1 lets you connect AI agents to the Elasticsearch MCP server with a browser sign-in instead of an API key. Your agent gets a short-lived token tied to your permissions that you can revoke any time.
Faster, cheaper support investigations with precomputed context
Precomputed context cut input tokens by 58% and latency by 40% in Elastic’s support agent, making support investigations more efficient by reducing repeated retrieval.
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.
Your agents have been keeping receipts: turning Elastic Agent Builder's built-in OTel traces into token cost dashboards in Kibana
Your Agent Builder agents already log every LLM call as an OTel trace, and that agent tracing data can power token cost dashboards and budget alerts before one runaway conversation quietly wrecks your month.
One prompt, a complete workflow: Elastic's AI agent writes your automation for you
Elastic Workflows takes a plain-text prompt and generates YAML you can inspect, version and run against your Elasticsearch data. Now GA, with human-in-the-loop workflows in Slack, parallel execution, and 10 new connectors.
How Elasticsearch detects multiple change points in time series with 0.99 recall
ES|QL's CHANGE_POINT command finds structural shifts, variance changes and spikes in any metric in ~1ms, without tuning anything per series.
AI shopping agents: Why context comes before the query
AI shopping agents that guess at your vocabulary make expensive mistakes. Pre-computed catalog context stops the guessing before the first tool call.
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.
