Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
How to build search analytics on Elastic using OpenTelemetry, no extra pipeline required
How to instrument your search application to use modern Open Telemetry standard to drive insights in to your search and users.
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.
Your compliance posture just got an upgrade: Elasticsearch now supports FIPS 140-3
Elastic 9.4 brings FIPS 140-3 support for Elasticsearch and Kibana to GA. Here's what changes for federal, defense and regulated deployments, and how to migrate from 140-2.
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.
Follow the money: tracing laundering networks with ES|QL and cross-cluster search
The data model, cross-cluster architecture and five ES|QL queries that power mule detection and laundering network tracing, built from infrastructure most financial institutions already run.
A simdvec deep-dive: How Elasticsearch uses neural-net and video-codec CPU instructions for vector search
Four ways Elasticsearch's vector search engine reuses neural-network, video-codec and cryptography CPU instructions for up to 6x speedups; with the math, the failed attempts and the benchmarks.
One command. Natural language. Your Elasticsearch data, straight to the terminal.
Query your Elasticsearch data from the terminal in plain English. The official Elastic GitHub Copilot CLI plugin generates and runs ES|QL queries against your cluster. No Kibana, no manual syntax.
Piping Hot: Bringing ES|QL to Your Grafana Dashboards Using the Elasticsearch Plugin
You can now write ES|QL queries in Grafana with the Elasticsearch plugin. Learn how to enable it and write pipe-based queries directly in the Grafana UI.
Building a multilingual voice agent with Elastic Agent Builder & Sarvam AI
A working demo combining Sarvam AI speech with Elastic Agent Builder: identity verification, per-customer ES|QL queries, and mid-call language switching across 22 Indian languages without multilingual indices.
Bringing it together: How we rebuilt Elasticsearch as a columnar metrics engine; 6.6x less storage, 160x faster queries
Elasticsearch metrics in version 9.4 run on a fully columnar engine: 6.6x less storage, 160x faster queries, native PromQL and OTel support.
Talk to your Elasticsearch data: building a real-time voice agent with Google ADK and MCP in 3 components
Wire Google ADK's real-time voice streaming to your Elasticsearch data via Agent Builder's built-in MCP server; no custom integration code required.
Elasticsearch ES|QL: Now with Views, Subqueries, and Schema-on-Read
Query fields you never mapped, combine indices with different schemas in one pipeline, and reuse query logic as named views. ES|QL's most significant data access expansion yet.