The Gilbane Advisor

Curated for content, computing, and digital experience professionals

Category: Enterprise search & search technology (Page 1 of 57)

Research, analysis, and news about enterprise search and search markets, technologies, practices, and strategies, such as semantic search, intranet collaboration and workplace, ecommerce and other applications.

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.

For older, long form reports, papers, and research on these topics see our Resources page.

MongoDB expands collaboration with Google Cloud

April 9, 2024 /

MongoDB, Inc. announced an expanded collaboration with Google Cloud to make it easier and more cost-effective to build, scale, and deploy generative AI applications using MongoDB Atlas Vector Search and Vertex AI from Google Cloud, along with additional support for data processing with BigQuery. The companies are also collaborating on new industry solutions for retail and manufacturing, with deeper product integrations and solutions to provide a seamless development environment for creating shopping experiences and data-driven applications for smart factories. For workloads that use highly sensitive data, MongoDB Enterprise Advanced (EA) is now available on Google Distributed Cloud (GDC).

  • MongoDB Atlas Search Nodes on Google Cloud provide dedicated infrastructure for generative AI and relevance-based search workloads that use MongoDB Atlas Vector Search and MongoDB Atlas Search.
  • A dedicated Vertex AI extension makes it easier to work with large language models (LLMs) without having to transform data or manage data pipelines between MongoDB Atlas and Google Cloud.
  • Integration of Spark stored procedures with BigQuery improves automation, optimization, and reuse of data processing workflows between BigQuery and MongoDB Atlas for analytics, BI, and end-user applications.

https://www.mongodb.com/press/mongo-db-expands-collaboration-with-google-cloud-at-google-next

DataStax acquires Langflow

April 4, 2024 /

DataStax announced it has entered into a definitive agreement to acquire AI startup, Logspace, the creators of Langflow, an open source visual framework for building retrieval-augmented generation (RAG) applications.

Langflow makes it easier and faster for any developer, experienced or new, to build Generative AI applications using Python-based composable building blocks and pre-built components, which can be combined in numerous ways. With its easy-to-use, drag-and-drop visual environment and rapid iteration of data flows, Langflow makes it simpler for any developer to build LangChain-based RAG applications and deploy in one-click. 

Developers benefit from a rich ecosystem that builds, shares, and reuses components with each other in the Langflow Store–a place to publish and search for components built by the community. With this, they can quickly test, reuse, and share flows to iterate on RAG applications with fine-grained control to dramatically speed up deployment and reduce hallucinations. 

The combination of Langflow and DataStax creates a one-stop Generative AI application stack offering flexible deployment options, including integration with DataStax Astra DB, alongside a rich ecosystem of Python libraries, and integration with partners like LangChain. The Langflow team will operate independently, focusing on project innovation and community collaboration.

https://www.datastax.com/blog/datastax-acquires-langflow-to-accelerate-generative-ai-app-development ■ https://www.langflow.org

Searchspring acquires Intelligent Reach

April 2, 2024 /

Searchspring, a platform for ecommerce site search, product merchandising, and ecommerce personalization, announced today it has acquired Intelligent Reach, a UK-headquartered, full-service data feed management software provider trusted by brands such as HP, Asics, Avon Cosmetics, Black and Decker, Seraphine, and Burberry.

Purpose-built for ecommerce, merchants use the Searchspring platform to facilitate better product discovery through semantic site search capabilities and flexible product merchandising, which includes business rules as well as AI-driven campaigns. The Searchspring personalization suite further helps to get the right product to the right shopper at the right time.

Intelligent Reach empowers mid-market and enterprise merchants by curating their product data to optimize for distribution across more than 1,500 advertising channels, shopping sites, and marketplaces by managing product data effectively, integrating it across platforms, and syncing orders with existing systems to streamline operations. These channels include Google Shopping, Amazon, eBay, Facebook, and Instagram. The platform reduces the time it takes a brand, retailer, or agency to access new channels. It streamlines operations, accelerates entry to new markets, manages the complexity of marketplaces and social commerce, and increases return on ad spend.

https://searchspring.com/news/searchspring-acquires-intelligent-reach

Bridgeline releases Zeus Update with Concept and Image Search

March 28, 2024 /

Bridgeline Digital, Inc. announced that Smart Search by HawkSearch, featuring AI powered concept and image search with Generative AI (GenAI) capabilities, is now available to the general public. Smart Search leverages the latest advancements in AI, including large language models (LLMs) and vector databases, to enhance online shopping search functionality. Smart Search includes:

  • Concept Search understands the intent behind a customer’s search to find products that are more relevant to the customer’s needs. A customer can describe what they need to automatically create a shopping list. For example, if a customer tells an online flower store, “find white flowers to plant in Southern California with fragrant blooms to attract bees,” Smart Search would return Gardenia and Star Jasmine.
  • Image Search allows online shoppers to shop with photos from their cell phone or online images. A shopper could go to the above gardening website and upload a photo of a garden to automatically load their shopping cart with similar flowers and trees.
  • GenAI automatically creates, corrects, or expands descriptions of products in your catalog. GenAI also creates landing pages with keywords for each product.

Smart Search supports 50 languages even if the site is primarily in English.

https://www.hawksearch.com/webinar/meet-zeus-hawksearchs-newest-release

Bridgeline announces Zeus launch with Concept and Image Search

March 7, 2024 /

Bridgeline Digital, Inc., a provider of marketing software, announced the release date of its HawkSearch “Smart Search” technology, set for March 15, 2024. Smart Search introduces two new ways to search, Concept and Visual Search, changing how customers interact with search and leading to increased engagement and revenue for businesses.

HawkSearch will introduce its “Zeus” update for Smart Search and GenAI capabilities on March 15, 2024. This update introduces AI-powered Concept and Visual Search to help HawkSearch customers generate more revenue. Smart Search uses AI models, vector databases, and large language models to process customer queries, whether typed or through images. For instance, Visual Search allows a customer to upload an image of a product, and HawkSearch will show similar items for purchase. Concept Search lets users describe their needs in natural language, and the system finds relevant products or information.

https://www.bridgeline.com

Couchbase adds vector search to database platform

February 29, 2024 /

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/

Algolia adds Looking Similar capability to AI Recommendations

February 27, 2024 /

Algolia launched a new ‘Looking Similar’ capability as part of its AI Recommendations solution. Looking Similar is an AI model that analyzes images in a retailer’s catalog to find and recommend other items that are visually similar. This new image-based feature is easy to implement and configure, and can enhance conversion rates by providing shoppers with a more visual browsing experience. 

With Looking Similar, users can find items faster that fit a specific theme, vibe, style, mood, or space as a shopper might visually explore products in a brick-and-mortar store. These visual recommendations are particularly useful for shoppers when they come across out of stock items, are simply looking for inspiration, or find a style they like but want differently priced options.

Retailers and marketplaces can implement Algolia’s Looking Similar, analyze a catalog, and quickly generate hundreds of recommendations. These recommendations can be further refined based on a number of preferred attributes such as ‘color’, ‘price’, and ‘size’.

Looking Similar provides retailers with control and empowers them to establish thresholds for the “Similarity” of image matches to create custom filters, specify the number of recommendations to be displayed, and ensure a specific level of image match similarity.

https://www.algolia.com/about/news/algolia-unveils-new-looking-similar-capability-elevating-shopping-experiences-with-image-based-recommendations/

Mindbreeze and Ariza Content Solutions partner

January 31, 2024 /

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

« Older posts

Policies

Contact

twitterrssMastadon

Contact • customerservice@gilbane.com

© 2024 Bluebill Advisors (except for contributed posts which are licensed under creative commons)

Banner photos: Fort Point Channel, Summer St bridge, and Northern Ave bridge, Boston

Bluebill Advisors Inc logo

© 2024 The Gilbane Advisor

Theme by Anders Noren — Up ↑