We’re excited to share a recent enhancement made to the Elastic Support Hub: it’s now powered by semantic search! But before we go into more detail on the changes we made to the Elastic® Support Hub and its impact on our customers, it's important that we take a moment to explain the concept of semantic search. At its core, semantic search is a method of search that uses AI to return more relevant search results. Take a look at this quick video explaining the concept.

Workplace Search functionality will merge with Elastic Search in the future. Here’s what you need to know. Recent advancements in generative AI technologies have opened up a wave of possibilities with search. As developers build new experiences, users are adopting new ways of using search — from search queries written in natural language, to searching by uploading images or voice samples.

Wow, can you believe it’s been a year since we announced Cribl Search and redefined the search process for observability and security data? Even though the product is just wrapping up its first year, Cribl Search has achieved unrivaled growth in both user adoption and expansion of product capabilities. Why?

When you enter a query in SharePoint Online‘s search box, you are tapping into a complex system designed to interpret your needs and retrieve the most relevant content. It’s a system built not only to understand what you’re looking for but also to respect the security and organization of your company’s data. By mastering SharePoint Online’s advanced search capabilities, you unlock the potential to transform vast data stores into actionable insights swiftly.

Last year, the US Navy’s Capstone Design Concept for Information Superiority provided digital modernization guidance for the Department of the Navy (DON). The document sets forth the overarching goal: to “securely move any information from anywhere to anywhere” in order to achieve information superiority. The design concept also highlights two outcomes: customer experience and operational resilience.

The way we handle massive volumes of data from multiple sources is about to change fundamentally. The traditional data processing systems don’t always fit into our budget (unless you have some pretty deep pockets). Our wallets constantly need to expand to keep up with the changing data veracity and volume, which isn’t always feasible. Yet we keep doing it because data is a commodity.

We often get questions like: And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that.