Elastic

Elastic and OpenAI Expand Enterprise AI Collaboration

Elastic announced an expanded collaboration with OpenAI to help organizations build production-ready AI applications and agents by combining Elasticsearch’s retrieval, search, and governance capabilities with OpenAI’s advanced reasoning models. The partnership targets enterprise use cases across AI applications, security operations, and observability, aiming to ground models in permission-aware enterprise data to improve accuracy, security, and cost efficiency. The companies highlighted three customer outcomes — context-aware AI agents, agentic observability for SRE teams, and agentic security operations for analysts — and said they will deepen integrations including plans to integrate OpenAI’s GPT-5.5 Cyber models into Elastic Security workflows and extend governance to the OpenAI platform.

Reduced OPEX 99.5% by Rewriting App in Go

A technical case study describing how the author rewrote a Ruby on Rails-based document search SaaS into a single Go binary (the Project Apario reader) and drastically cut operational expenses. The original PhoenixVault stack incurred roughly $7,000/month in OPEX (ElasticSearch, MongoDB Atlas, OVH hosting, plus other services). Replacing external managed services and Rails with a self-contained Go application running on OVH bare-metal reduced costs to about $33/month (~99.5% reduction). The post documents implementation details — local JSON/.db directories, built-in CORS/CSP, self-signed auto-rotating TLS (auto-tls), rate limiting, IP-ban middleware, multiple search algorithms, and configuration flags — and links to the open-source Project Apario repositories. Publication date: 2026-07-27.

Elastic Offers Jina On-Prem Semantic Search

Elastic announced that Jina AI models are now available for on-premises and air-gapped deployments via Jina On-Prem. The offering packages 28 Jina AI models covering text, images, audio, and video into a single embedding space that runs entirely within customer environments with no outbound network calls, telemetry, or license servers. Jina On-Prem supports CPU and GPU (automatic GPU detection), can run small models on a single 8GB GPU, and is presented as a drop-in replacement for models served through Elastic Inference Service (EIS) for air-gapped Elastic deployments.