July 14, 2026
4 NVIDIA AI tasks, 1 Elasticsearch API: Embeddings, chat, completion, and rerank
Set up NVIDIA hosted models in Elasticsearch with one API key and a model ID. No custom integration code needed.


July 13, 2026
The disk that never woke up: what actually decided our Qdrant vector search benchmark rematch
On the same hardware, Elasticsearch and Qdrant land in the same range at 56 QPS. The io_uring disk scorer and memory claims turned out to be the two things that mattered least.

July 10, 2026
How BBQ shrinks Jina v5 embeddings by 29x without losing recall in Elasticsearch
A hands-on test comparing BBQ and float32 vector indices in Elasticsearch, measuring memory, disk and recall@10 across five languages.

July 9, 2026
Why Elasticsearch is becoming a columnar database
Elasticsearch is becoming a first-class columnar database. Columnar Mode ships in 9.5, storing data once alongside the existing modes and cutting storage footprints while speeding up analytical queries.

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.

July 7, 2026
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.

July 7, 2026
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.

July 6, 2026
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.