Improving ease of use in OpenSearch Dashboards with Vega visualizations When we offer users a clunky dashboard interface, we increase usability pain points and user frustration. Improving the usability of software requires a sharp focus on user experience. Moreover, a poor interface restricts customizability, a prized requirement by high-code users.…
Register Now! Submit CFP OpenSearchCon North America 2024 registration and CFP are open OpenSearchCon North America is back and coming to the Bay Area! Join us at the Hilton Union Square in San Francisco from September 24-26. The event is in-person only and there is no fee to attend. We’re…
OpenSearch introduced support for multiple data sources in version 2.4, allowing users to explore, visualize, and manage data from self-managed clusters and Amazon OpenSearch Service. In version 2.14, OpenSearch Dashboards plugins have been integrated to support multiple data sources. Users can now access data from remote clusters within OpenSearch Dashboards…
I get asked this question all the time: Do I need semantic search? It’s a good question, but it’s not the right question to start with. You need to first understand what semantic search can do for you. Then you can dive into whether or not it’s a good fit…
Introduction The multiple data sources feature gives users the capability to visualize data from various OpenSearch clusters. To date, only certain visualization types have been available. With the release of OpenSearch Dashboards 2.13 and 2.14, the multiple data sources feature is now compatible with Vega and Time-Series Visual Builder (TSVB)…
OpenSearch covers a broad range of functionality for applications involving document search, e-commerce search, log analytics, observability, and data analytics. All of these applications depend on a full-featured, scalable, reliable, and high-performance foundation. In the latest OpenSearch versions, we’ve added new features such as enhanced artificial intelligence and machine learning…
In our last blog post, we introduced neural sparse search, a new efficient method of semantic retrieval made generally available in OpenSearch 2.11. We released two sparse encoding models on OpenSearch model hub and Hugging Face model hub. Both models excel at producing relevant information compared to other sparse encoding…
DataStax and the OpenSearch Project are announcing a series of integration efforts to support generative AI developers. Retrieval-augmented generation (RAG) is a key design pattern in generative AI. RAG applications work by assembling context from a variety of sources, which is then processed by a large language model (LLM) to…
Over the last two weeks, Metabase has had the worst security incident in the history of the project. We know this incident has been extremely disruptive to you, our community, and are especially sorry to have had to announce two successive calls to upgrade on a Friday. Now that the…
Speed up your Metabase by hosting it closer to you and your data with new cloud-hosting options in the EU (Frankfurt), APAC (Singapore), or LATAM (São Paulo). Until now, all of the Metabases hosted in our cloud were in the US. Now you get a choice. If you’re in Europe,…