Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
The mystery stress your heap chart can't see: AutoOps now watches vector off-heap memory
Dense vectors use off-heap memory your heap chart never shows. AutoOps detects memory pressure before vector RAM stress causes OOM.
From search to checkout in 20 lines of code: building a 4-stage conversion funnel with OpenTelemetry
Add cart and purchase tracking to your search analytics pipeline and use ES|QL to answer the question every product manager asks: which search queries drive the most revenue?
Kibana Dashboards API: A stable contract for every panel type, tested by 50+ teams before GA
Manage Kibana dashboards as code: Commit to Git, promote across environments, and automate deployments with the Kibana API and Terraform.
Elasticsearch ES|QL brings full-text search to data you never indexed
MATCH and TO_TEXT bring full-text search to data you never indexed. Search computed columns, unmapped fields and federated sources in ES|QL.
Prompt to dashboard in under a minute, 5x cheaper: AI dashboards and custom Vega-Lite charts in Kibana
Describe your metrics in natural language and Kibana's AI chat generates ES|QL-backed dashboards and Vega-Lite charts, from scatter plots to conditional formatting and custom tooltips.
Close enough is fast enough: How ES|QL Fast mode makes Kibana dashboards up to 100x faster
Fast mode samples a fraction of the data instead of scanning all of it. This release also brings click-to-filter for ES|QL charts, query-powered controls, and cleaner metric and bar chart layouts.
15 lines of click tracking code that tell you what search logs can't
Three ES|QL queries calculate click-through rate, mean reciprocal rank and click position distribution from your search click data, so you can pinpoint which queries need relevance tuning and where ranking improvements will have the most impact.
One field, every modality: how Elasticsearch's semantic field indexes and searches images, audio, video and PDFs automatically
The semantic field turns images, audio, video, PDFs and text into multimodal embeddings at ingest time. Describe a scene and find the matching image or use a video frame to surface related clips, all from one Elasticsearch field.
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.
17% faster search, zero config: auto-calibrating vector quantization in Elasticsearch
Automatic calibration at merge time picks vector quantization parameters for each segment by predicting recall from a small sample. Here's how we built it into Elasticsearch's merge path.
56% faster, up to 50% better retrieval performance: What's inside Jina's new 600 million parameter listwise reranker
Jina Reranker 3.5 beats v3 by 50%+ on case law, closes the gap with models 7x its size on legal, medical, and financial benchmarks, and beats them outright on structured data. It's a drop-in replacement for v3, with no API changes.