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Category: Enterprise search & search technology (Page 2 of 59)

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.

DataStax to launch new Hyper-Converged Data Platform

May 15, 2024 /

DataStax announced the upcoming launch of DataStax HCDP (Hyper-Converged Data Platform), in addition to the upcoming release of DataStax Enterprise (DSE) 6.9. Both products enable customers to add generative AI and vector search capabilities to their self-managed, enterprise data workloads. DataStax HCDP is designed for modern data centers and Hyper-Converged Infrastructure (HCI) to support the breadth of data workloads and AI systems. It supports on-premises enterprise data systems built to AI-enable data and is designed for enterprise operators and architects.

The combination of OpenSearch’s Enterprise Search capabilities, with the high-performance vector search capabilities of the DataStax cloud-native, NoSQL Hyper-Converged Database, enables users to speed RAG and knowledge retrieval applications into production.

Hyper-converged streaming (HCS) built with Apache Pulsar is designed to provide data communications for a modern infrastructure. With native support of inline data processing and embedding, HCS brings vector data to the edge, allowing for faster response times and enabling event data for better contextual generative AI experiences.

HCDP provides rapid provisioning and data APIs built around the DataStax one-stop GenAI stack for enterprise retrieval-augmented generation (RAG), and it’s all built on the open-source Apache Cassandra platform.

https://www.datastax.com/press-release/datastax-launches-new-hyper-converged-data-platform-giving-enterprises-the-complete-modern-data-center-suite-ceeded-for-ai-in-production

SoundHound AI and Perplexity partner

May 9, 2024 /

SoundHound AI, Inc., a voice artificial intelligence vendor, announced it has partnered with Perplexity, the conversational AI-powered answer engine. Together they will bring Perplexity’s online LLM capabilities to SoundHound Chat AI – a voice assistant that utilizes hundreds of real-time domains, as well as generative AI responses. The SoundHound Chat AI assistant will leverage Perplexity to provide accurate, up-to-date responses to web-based queries that static LLMs cannot currently answer – expanding the type and complexity of the questions the assistant is able to handle.

For example, a user can ask a question like: “How does the price of gas this week compare to last week?” and the response will combine accurate, live information on gas prices with a comprehensive generative AI-style explanation that provides further context. The user can then follow-up with, “Navigate to the nearest gas station,” which uses SoundHound’s technology to seamlessly incorporate data from the appropriate sources and integrate with the navigation software of a device such as a car or a phone.

The assistant also utilizes a specially developed arbitration technology that uses a combination of software engineering and machine learning to intelligently select the more appropriate response, helping to minimize harmful “AI hallucinations.”

https://www.soundhound.com/newsroom/press-releases/soundhound-ai-and-perplexity-partner-to-bring-online-llms-to-its-next-gen-voice-assistants-across-cars-and-iot-devices/ ■ https://www.perplexity.ai

ThoughtSpot renames and adds features to ThoughtSpot Everywhere

April 17, 2024 /

ThoughtSpot, an AI-powered analytics company, today announced a series of initiatives for developers and product builders to help their customers, partners, and employees with generative AI and embedded natural language search, including a new pricing edition, a Vercel Marketplace listing, support channels, and new courses and certifications. 

ThoughtSpot has renamed the embedded solution, previously known as ThoughtSpot Everywhere to ThoughtSpot Embedded, reflecting ThoughtSpot’s vision to make analytics invisible – seamlessly embedded into every data application and user workflow – and its business outcomes visible. New features and offerings include: 

  • Developer Edition. The new Developer Edition offers developers exploring ThoughtSpot in free trial an opportunity to try ThoughtSpot Embedded capabilities with their specific use case for free for 12 months.  
  • Vercel Marketplace Integration. The new app listing for ThoughtSpot enables developers to quickly embed ThoughtSpot’s AI-powered analytics into their apps via the Vercel Marketplace.
  • Discord Channel. Developers can ask ThoughtSpot Embedded subject matter experts technical questions and receive guidance in our Discord community.
  • New ThoughtSpot Embedded Courses and Certifications. ThoughtSpot University is releasing a new paid certification for ThoughtSpot Embedded, the ThoughtSpot Embedded Developer. The new certification is for developers looking to attain formal recognition of their skills and knowledge in AI-Powered Analytics with ThoughtSpot Embedded.

https://www.thoughtspot.com/press-releases/thoughtspot-makes-embedding-ai-powered-analytics-easy-and-ubiquitous-for-everyone

Expert.ai launches Insight Engine for Life Sciences

April 15, 2024 /

Expert.ai, specialists in providing AI-powered language solutions to enterprises, today announced the launch of the expert.ai Insight Engine for Life Sciences.

For the world of drug research and development, data is both a challenge to be managed and an opportunity. The ability to effectively and quickly mine scientific and biomedical content for developing new drugs and to design and operate clinical trials is critical. The complexity of the diverse data sources that researchers depend on makes integrating, standardizing and analyzing them both challenging. Commercial licensing and data access restrictions, as well as the lack of granularity and different taxonomies used by common search tools complicate the process.

Advanced AI technologies provide the capability to mine and aggregate scientific content, synthesize knowledge, extract relevant information & reveal hidden correlations, helping researchers quickly access and analyze a vast amount of relevant information coming from biomedical and scientific literature, including full texts, speeding up the discovery and development of new drugs and therapies. Expert.ai Insight Engine for Life Sciences supports multiple use cases, including competitive intelligence, clinical trial design optimization, intellectual property protection, and research intelligence.

https://www.expert.ai/expert-ai-launches-insight-engine-for-life-sciences/

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

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