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Category: Enterprise search & search technology (Page 1 of 48)

Research, analysis, and news about enterprise search and search technologies. For older, long form reports, papers, and research on these topics see our Resources page.

Before we consolidated our blogs industry veteran Lynda Moulton authored our popular enterprise search blog. This category includes all her posts and other enterprise search news and analysis. Lynda’s loyal readers can find all of Lynda’s posts collected here.

Ontotext Platform 3.4 brings better search and aggregation in knowledge graphs

Ontotext announced Ontotext Platform 3.4 for better search and aggregation in knowledge graphs. Key to the Ontotext Platform is the declarative approach for access and management of large-scale knowledge graphs (KG). This allows engineering teams to define specific GraphQL interfaces to read and write data over parts of a knowledge graph and let the Platform implement an efficient translation of GraphQL to SPARQL.

Ontotext Platform 3.4 combines GraphDB, Elasticsearch and GraphQL by enabling the definition, automatic synchronization and querying of indices to boost the performance of specific queries. The Workbench front-end tool of the Platform features a new generic search interface for KG exploration and navigation. The new version of the Semantic Object service delivers better performance to execute big and data-intensive GraphQL queries on top of GraphDB.

The new Semantic Search Service enables software engineers to easily accomplish some of the capabilities over a knowledge graph that are most required by SMEs such as Full-text Search (FTS), Auto-complete/typeahead (related concepts and controlled vocabulary), Auto-suggest (related keywords and phrases), Faceted search, complex dashboards using different statistical and/or bucket aggregations, etc. The provided GraphQL endpoint will enable users not only to search in the data but also to retrieve the data for the result list directly from Elasticsearch.

https://www.ontotext.com

ThoughtSpot acquires SeekWell

ThoughtSpot, provider of search & AI-driven analytics, announced it has entered into a definitive agreement to acquire SeekWell. With SeekWell, customers will be able to operationalize their analytics and use SQL to push cloud data insights directly to business applications. As the companies integrate their offerings, the combination of ThoughtSpot and SeekWell will let users use natural language search to pull data from cloud data warehouses, modify it with productivity applications like Google Spreadsheets, then automatically and sync it back to business applications like Salesforce. With SeekWell and ThoughtSpot, customers can find insights easier, and close data loops by pushing insights directly back to applications and scaling data-driven decision making in the process.

SeekWell capabilities are available from ThoughtSpot starting today. As SeekWell becomes fully integrated into ThoughtSpot, this entire process will be powered by natural language search. No SQL will be required; instead, customers can use search to find data in the cloud, enable modification via productivity apps, and sync it with business apps. ThoughtSpot will also invest in building new business app integrations, expanding the number of end destinations for SeekWell.

https://www.thoughtspot.com ▪︎ https://seekwell.io

SciBite launches AI-driven semantic search platform

SciBite, an Elsevier semantic technology company, announced the launch of SciBiteSearch, a scientific search and analytics platform that offers interrogation and analysis capabilities across unstructured and structured data, from public and proprietary sources. SciBiteSearch provides scientists with access to domain specific ontology and AI-powered search capabilities.

SciBiteSearch uses knowledge graphs to augment searches and deliver not only items relevant to the query but the structure and relationship between them. The addition of AI enables natural language understanding. SciBiteSearch can integrate data across a range of use cases including:

  • Unify multiple data sources into a single solution, designed for departments wanting their own tailored search tool. For example, combining public biomedical literature, clinical trials, and grants with proprietary data.
  • Incorporate full-text biomedical literature from publishers to better address researchers’ discovery needs. For example, users can load subscribed licensed data from partner publishers or content brokers.
  • Enable users to get accurate search results without the need to understand the complexities of Named Entity Recognition (NER), its underlying data structures, or the functions required to surface.

SciBiteSearch creates sophisticated query and assertion indices created using SciBite’s tools and ontologies. A streaming load API, connectors, and parsers for different sources and content types let it load and process content to make it searchable.

http://scibite.com/scibitesearch

ThoughtSpot announces new Snowflake investment

ThoughtSpot, provider of enterprise search & AI-driven analytics, announced a new investment from Snowflake Ventures, the ventures arm of Snowflake. This investment reflects the continued partnership and success joint customers are able to achieve with Thoughtspot’s AI-driven analytics platform powered by Snowflake’s Data Cloud. Organizations that have adopted the Data Cloud in combination with search and AI-driven analytics move beyond traditional static dashboards and improve how they leverage data. With Snowflake and ThoughtSpot, companies are able to empower every employee with granular insights that create bespoke, personalized experiences. Joint customers will benefit from:

  • Accelerated product innovation. ThoughtSpot’s search and AI-driven analytics platform will continue to integrate and leverage the latest Snowflake platform features that enable joint customers to further democratize the use of data and unlock meaningful business insights.
  • Increased ROI from cloud migrations. With ThoughtSpot and Snowflake, companies can quickly get their data into the cloud, identify and move analytics use cases into production, and scale these to any employee in their business.
  • Continued joint go to market. ThoughtSpot and Snowflake will work together to help companies experience the combination of their solutions through jointly held virtual events, workshops, and a free trial of ThoughtSpot.

https://www.thoughtspot.com

Brave acquires search engine to offer alternative to Google

Today Brave announced the acquisition of Tailcat, the open search engine developed by the team formerly responsible for the privacy search and browser products at Cliqz, a holding of Hubert Burda Media. Tailcat will become the foundation of Brave Search. Brave Search and the Brave browser constitute independent, privacy-preserving alternative to Google Chrome and Google Search. Brave Search:

  1. is private: it does not track or profile users.
  2. is user-first: Brave serves the user first, not the advertising and data industries.
  3. Brave Search offers choice: We will provide options for ad-free paid search and ad-supported search.
  4. is independent: We will rely on anonymized contributions from the community to improve and refine Brave Search.
  5. is transparent: we will not use secret methods or algorithms to bias results. We will explore multiple community-curated open ranking models to ensure diversity, and prevent algorithmic biases and outright censorship.
  6. is seamless: we will offer integration between the browser and search without compromising privacy, from personalization to instant results as the user types.
  7. is open: we do not believe in walled gardens and, as such, we will offer Brave Search to power other search engines.

Brave will also explore blockchain-based options and new developments, including for e-commerce uses.

https://brave.com/search, https://www.brave.com

Alation releases update to data intelligence platform

Alation Inc., provider of enterprise data intelligence solutions, announced the release of Alation 2021.1. The newest release extends connector and query coverage to virtually any data source, expedites relevant search & discovery through data domains, and features new data governance capabilities.

Alation 2021.1 includes connectors to a comprehensive range of applications and data sources, beyond Business Intelligence (BI) and filesystems, to applications such as ServiceNow and Salesforce. The platform’s new, federated authentication enables users to query cloud services such as Amazon Web Services (AWS) and Snowflake using single sign-on. By snapping into a variety of applications and data sources, Alation serves as a single place to find, understand, and trust data across an organization. Alation 2021.1 also includes:

  • Accelerated time to insight. A new Open Connect Framework software development kit (SDK) enables third parties, including customers and partners, to build connectors to niche RDBMS and BI data sources such as NoSQL and application sources.
  • Increased search relevancy by allowing users to narrow their searches based on how data is grouped logically by the organization, such as business unit or geography.
  • New data governance capabilities. New impact analysis reports provide an immediate view into the downstream impact of data changes.

https://www.alation.com/press-releases/data-intelligence-platform-with-broadest-deepest-connectivity/

Elasticsearch

Elasticsearch is a search server based on Lucene. It provides a distributed, multitenant-capable full-text search engine with a RESTful web interface and schema-free JSON documents. Elasticsearch is developed in Java and is released as open source under the terms of the Apache License. Elasticsearch is the second most popular enterprise search engine.

TA Digital launches SearchBoost.ai

TA Digital announced its entry into the cognitive search space with an intelligent search solution, SearchBoost.ai. SearchBoost.ai delivers personalized search results by focusing on the users and their experience. Leveraging user data, SearchBoost.ai serves users with predictive, relevant and personalized search results that cater to the highest clicks and conversions.

SearchBoost.ai works by connecting to both the data source and the search engine in place within the client’s existing infrastructure. It imports user data and search results then trains a Machine Learning model on them to produce better results. Once those results are ready, SearchBoost.ai pushes those results back to the search engine. While SearchBoost.ai can work with any data source or search engine, there is an existing out-of-the-box connectors for Adobe Analytics, Google Analytics, Apache Solr, Elasticsearch, Adobe Experience Manager and many others in development. The company has launched its offering with four pricing options.

https://www.tadigital.com/innovation/searchboostai

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