Category: Enterprise search & search technology (Page 4 of 60)

Couchbase, Inc. cloud database platform company, introduced vector search as a new feature in Couchbase Capella Database-as-a-Service (DBaaS) and Couchbase Server to help businesses bring to market a new adaptive applications that engage users in a hyper-personalized and contextualized way. The new feature offers vector search optimized for running onsite, across clouds, to mobile and IoT devices at the edge, so organizations can run adaptive applications anywhere.

While vector-only databases aim to solve the challenges of processing and storing data for LLMs, having multiple standalone solutions adds complexity to the enterprise IT stack and slows application performance. Couchbase’s multipurpose capabilities deliver a simplified architecture to improve the accuracy of LLM results. Couchbase also makes it easier and faster for developers to build such applications with a single SQL++ query using the vector index, removing the need to use multiple indexes or products. With vector search as a feature across all Couchbase products, customers gain:

• Similarity and hybrid search, combining text, vector, range and geospatial search capabilities in one.
• RAG to make AI-powered applications more accurate, safe and timely.
• Enhanced performance because all search patterns can be supported within a single index to lower response latency.

https://www.couchbase.com/blog/announcing-vector-search/

Mindbreeze, a provider of appliances and cloud services in the field of information insight, and Ariza Content Solutions have created a partnership to employ and enhance insights & search experiences and provide companies with content management.

While traditional content workflows encompassed content creation, through management of editorial and production processes, to final publication and delivery to various distribution channels, today content creators are learning the value of connected, searchable data to allow for deeper connections in their content. To accomplish this goal, Ariza employs solutions incorporating AI-driven insight engines like Mindbreeze InSpire. Insight engines enhance the search experience giving customers, both external and internal access to knowledge and insight into their content.

Mindbreeze InSpire, an insight engine, uses traditional search methods and sophisticated data analysis approaches to interpret business information and answer critical business questions. Equipped with machine learning and AI capabilities, the Mindbreeze InSpire solution provides a foundation for successful enterprise knowledge management.

https://inspire.mindbreeze.com ■ https://www.arizacs.com

Elastic the company behind Elasticsearch, today announced Elasticsearch Query Language (ES|QL), its new piped query language designed to transform, enrich and simplify data investigation with concurrent processing. ES|QL enables site reliability engineers (SREs), developers and security professionals to perform data aggregation and analysis across a variety of data sources from a single query. 

Over the last two decades, the data landscape has become more fragmented, opaque, and complex, driving the need for greater productivity and efficiency among developers, security professionals, and observability practitioners. Organizations need tools and services that offer iterative workflow, a broad range of operations, and central management to make security and observability professionals more productive. Elasticsearch Query Language key benefits include:

• Delivers a comprehensive and iterative approach to data investigation with ES|QL piped query syntax.
• Improves speed and efficiency regardless of data’s source or structure with a new ES|QL query engine that leverages concurrent processing.
• Streamlines observability and security workflows with a single user interface, which allows users to search, aggregate and visualize data from a single screen.

ES|QL is currently available as a technical preview. The general availability version, scheduled for release in 2024, will include additional features to further streamline data analysis and decision-making.

https://www.elastic.co