Blogs
Developer insights and practical how-to articles from our experts to inspire and empower your search experience.
Elasticsearch ES|QL “schema on read”: Your unmapped fields were there all along
ES|QL's new unmapped fields feature makes any never-mapped field queryable against historical data (no reindexing needed).
Bringing Fire to Elasticsearch: Adding Native Prometheus API Support
Query Elasticsearch directly from Prometheus-compatible clients via native PromQL, discovery, and metadata endpoints. Send data to Elasticsearch with Prometheus Remote Write.
Personalizing ecommerce search: Integrating purchase history and user cohorts
Learn how to create a personalized ecommerce search experience in Elasticsearch without breaking governance. This post explains how to boost products a shopper has purchased before and how to activate cohort-specific policies based on user profiles.
One index, all media: Introducing jina-embeddings-v5-omni
jina-embeddings-v5-omni lets you embed text, images, video, and audio into a single Elasticsearch index and query across all of them at once.
From averages to any percentile: Elasticsearch ships native exponential histogram support in ES|QL
Query any percentile at any time. Elasticsearch natively stores OTel exponential histograms and lets you analyze distributions in ES|QL without fixed buckets or lossy conversions.
What’s new in Kibana Dashboards: flexible controls, improved defaults and a visual refresh
Kibana 9.4 ships a batch of dashboard improvements — from better defaults to layout controls to a visual refresh. Here's what changed and why.
30x faster than Prometheus: How we rebuilt Elasticsearch as a leading columnar metrics datastore
Elasticsearch now stores OTel metrics at 3.75 bytes per data point and queries them up to 30x faster than Prometheus. Here's how we rebuilt TSDS and ES|QL.
Three indices walk into a FROM clause: ES|QL subqueries in Elasticsearch
ES|QL subqueries give each data source its own pipeline and filters, eliminating CASE chains, restoring predicate pushdown, and making multi-index queries extensible by design.
Elasticsearch's BBQ vs. TurboQuant: 10–40× faster on CPU and lower ranking noise
A head-to-head look at Elasticsearch BBQ and TurboQuant, including throughput, ranking accuracy, and why uniform quantization wins for CPU vector search with up to 40× faster comparisons and smaller ranking noise.
Multi-tier search with Elastic for ecommerce search governance: Fixing poor recall
Learn how to build a multi-tier retrieval strategy used to execute ecommerce governed search plans and improve recall management. We'll cover how to orchestrate semantic matching while maintaining stable results, facets, and pagination.
Elastic Agent Builder: How we taught AI agents to manage their own context
Agent Builder in Elasticsearch 9.4 ships dynamically loaded skills, a conversation context store, selective compaction, and external connectors to cut token costs by 40% and let agents handle their own context management.
