Category: Enterprise search & search technology (Page 5 of 59)

AI-powered search provider Sinequa has announced domain-specific enhancements to its intelligent search platform for Scientific Search and Clinical Trial Data. Its search platform now utilizes new Neural Search and ChatGPT capabilities for faster, more effective discovery and decisions in drug development and clinical research. Sinequa will present these capabilities at the 2023 Bio-IT World Conference, May 16-18, at the Boston Convention and Exhibition Center, during conference sessions and at booth #803 in Auditorium Hall C. 

Combining the capabilities of Sinequa Neural Search – multiple deep learning and large language models for natural language understanding (NLU) – with the latest ChatGPT models through Azure OpenAI Service, Sinequa enables accurate, fast, traceable semantic search, insight generation, and summarization. Users can query and converse with a secure corpus of data, including proprietary life science systems, enterprise collaboration systems, and external data sources, to answer complex and nuanced questions. Comprehensive search results with high relevance and the ability to generate concise summaries enhance R&D intelligence, optimize clinical trials, and streamline regulatory workflows. 

https://www.sinequa.com/enterprise-search-for-industries/healthcare-life-science/

Algolia launched Algolia NeuralSearch, their next-generation vector and keyword search in a single API. Algolia NeuralSearch understands natural language and delivers results in milliseconds. Algolia NeuralSearch uses Large Language Models (LLM) and goes further with Algolia’s Neural Hashing for hyper-scale, and constantly learns from user interactions.

Algolia NeuralSearch analyzes the relationships between words and concepts, generating vector representations that capture their meaning. Because vector-based understanding and retrieval is combined with Algolia’s full-text keyword engine, it works for exact matching too. Algolia NeuralSearch addresses the limitation in neural search to scale with their Neural Hashing, which compresses search vectors.

Algolia incorporates AI across three primary functions: query understanding, query retrieval, and ranking of results.

• Query understanding – Algolia’s advanced natural language understanding (NLU) and AI-driven vector search provide free-form natural language expression understanding and AI-powered query categorization that prepares and structures a query for analysis. Adaptive Learning based on user feedback fine-tunes intent understanding.
• Retrieval – The retrieval process merges the Neural Hashing results in parallel with keywords using the same index for easy retrieval and ranking.
• Ranking – The best results are pushed to the top by Algolia’s AI-powered Re-ranking, which takes into account the many signals attached to the search query.

https://www.algolia.com/products/neuralsearch/

Weaviate announced the release of a generative search module for OpenAI’s GPT-3, and other generative AI models (Cohere, LaMDA) to follow. The module allows Weaviate users and customers to integrate with those models and eliminates hurdles that currently limit the utility of such models in business use cases.

Generative models have so far been limited by a centralized and generic knowledge base that leaves them unable to answer business-specific questions. Weaviate’s generative module removes this limitation by allowing users to specify that the model work from users’ own Weaviate vector database. The solution combines language abilities like those of ChatGPT with a vector database that is relevant, secure, updated in real time, and less prone to hallucination.

Weaviate’s open-source generative AI module is now available to download. The new model also integrates with the company’s SaaS and hybrid SaaS products for use by clients with service-level agreements.

The Weaviate vector-search engine is a “third wave” database technology. Data is processed by a machine learning model first, and AI models help process, store, and search through it. As a result, Weaviate is not limited to natural language; Weaviate can also search images, audio, video, or even genetic information.

https://weaviate.io

Sinequa announced the 11.9 release of its Search Cloud Platform. The new update improves on Sinequa’s Neural Search by expanding integration options with new pre-built connectors, and enhancing its tools for delivering intelligent search applications. New features and enhancements include:

• Better relevance: Enhanced document splitting and automatic content management for higher-quality passages and augmented answer extraction capabilities
• Better experience: UI/UX enhancements, including built-in components for Top Passages and Answers
• More languages: Initially available in English, Neural Search now supports French, German, and Spanish as well
• PTC Windchill connector for PLM content integration has been upgraded to support v12, including all object types and all security protocols.
• Office 365 OneNote. The addition of OneNote means Sinequa now has off-the-shelf connectors for the full suite of Office 365 applications.
• Audit Log: A built-in connector replaces the previous one with more capabilities like event filtering.
• Azure Blob Storage for full indexing of Azure content and simplified role management.
• Sinequa Themes. A modernized UI with modular themes that can be easily added, removed, and customized.
• Search Starter App Builder now includes additional components, options, and a more intuitive UI for instantly delivering a best-in-class search experience.

https://www.sinequa.com