Elastic community newsletter — August 2026

Jina AI owns jina-embeddings-v5-omni

Jina AI creates the jina-embeddings-v5-omni multimodal embedding model.

Jina AI owns Jina On-Prem

Jina AI provides Jina On-Prem as an installation suite for on-premise AI models.

Elasticsearch uses jina-embeddings-v5-omni

Elasticsearch 9.5 powers its multimodal semantic field using the jina-embeddings-v5-omni model.

Elastic Cloud Serverless uses jina-embeddings-v5-omni

Elastic Cloud Serverless supports multimodal semantic search powered by jina-embeddings-v5-omni.

Elasticsearch uses Columnar Storage

Elasticsearch 9.5 introduces Columnar Mode and Columnar Logs to reduce storage overhead.

Elasticsearch uses Vector Search

Elasticsearch provides VectorDB index mode and auto-calibration for vector search workloads.

Elasticsearch uses Semantic Search

Elasticsearch extends semantic search capabilities to images, audio, video, and PDF documents.

Elasticsearch uses Multimodal Search

Elasticsearch introduces a new multimodal semantic field placing diverse media in a shared vector space.

Elasticsearch uses DiskBBQ

Elasticsearch supports auto-calibration for DiskBBQ vector search quantization and oversampling.

Elasticsearch uses ES|QL

Elasticsearch executes ES|QL queries alongside PromQL and drafts detection rules in ES|QL.

Elasticsearch uses PromQL

Elasticsearch 9.5 provides native general availability support for Prometheus Query Language.

Elastic Agent Builder uses OpenTelemetry

Elastic Agent Builder records LLM calls, tool invocations, and reasoning steps as OpenTelemetry traces.

Elastic Agent Builder is related to AI Agents

Elastic Agent Builder provides capabilities for monitoring and tracing AI agents, including LLM calls, tool invocations, and reasoning steps.

Elastic Agent Builder uses Slack

Elastic Agent Builder sends human-in-the-loop approval requests to Slack.

Elastic Workflows uses Slack

Elastic Workflows sends human-in-the-loop approval and alert requests to Slack.

Kibana uses Machine Learning

Kibana Workflows can run daily machine learning forecasts on disk usage.

Elasticsearch uses Python

Developers can build video search applications using Python with Elasticsearch.

Kibana is related to Grafana

A migration tool in Elastic helps migrate Grafana dashboards into Kibana.

Kibana is related to Datadog

A migration tool in Elastic helps import Datadog dashboards and alerts into Kibana.

Elasticsearch is related to Prometheus

Elasticsearch supports Prometheus tooling and stores metrics more efficiently than Prometheus storage backends.

Elasticsearch is related to NVIDIA

Elasticsearch supports setting up NVIDIA-hosted inference models with an API key and model ID.

Palantir uses Elasticsearch

Palantir uses and manages Elasticsearch reindex operations at scale.

Noam Schwartz works at Elastic

Noam Schwartz developed a persistent agent memory layer on Elasticsearch at Elastic.

Aaron Jewitt works at Elastic

Aaron Jewitt developed an optimization loop cutting AI agent LLM calls at Elastic.

Scott Martens works at Jina AI

Scott Martens introduced Jina On-Prem for Jina AI models.

Jan Kazlouski works at Elastic

Jan Kazlouski demonstrated setting up NVIDIA-hosted models in Elasticsearch.

Ori Shafir works at Elastic

Ori Shafir contributed to redesigning AutoOps for Elastic Cloud Hosted deployments.

Arnon Stern works at Elastic

Arnon Stern contributed to redesigning AutoOps for Elastic Cloud Hosted deployments.

Valeriy Khakhutskyy works at Elastic

Valeriy Khakhutskyy developed Kibana Workflows for ML disk usage forecasting.

Elastic is related to Singapore

Elastic is hosting an Elastic{ON} tour conference in Singapore in March 2027.

Attack Discovery is related to Cybersecurity

Attack Discovery investigates alerts and supports security operations by correlating evidence and drafting detection rules.

Elasticsearch is related to Observability

Elastic 9.5 adds Agent Observability and Monitoring, recording every LLM call, tool invocation, and reasoning step in Elasticsearch.