Sinequa Unveils New Generative AI Assistant

AI-powered search provider Sinequa makes available Sinequa Assistants, new enterprise-grade generative AI assistants that integrate with all enterprise content and applications to augment and transform knowledge work. Sinequa’s new generative AI Assistants empower employees to work more efficiently.

Sinequa’s Assistants demonstrate that combining search with GenAI (generative artificial intelligence) in a technique called retrieval-augmented generation (RAG) enables the next generation of AI-augmented knowledge. Sinequa’s Neural Search complements GenAI and provides the foundation for Sinequa’s Assistants. Its capabilities extend beyond RAG’s conventional search-and-summarize paradigm to intelligently execute complex, multistep activities, all grounded in facts to augment the way employees work. Assistants automate tasks and streamline work processes with added insights.

Sinequa’s Assistants leverage company content and knowledge to generate contextually-relevant insights and recommendations, while ensuring privacy and data governance. Optimized for scale with three custom-trained small language models (SLMs) for relevance at low cost, Sinequa Assistants ensure accurate conversational responses on any internal topic, complete with citations and full traceability to the original source.

Sinequa Assistants work with any public or private generative LLM, including Cohere, OpenAI, Google Gemini, Microsoft Azure Open AI, Mistral and others, allowing companies to choose which LLMs best meet their needs while controlling costs. The Sinequa Assistant framework powers a range of ready-to-go Assistants along with tools to define custom Assistant workflows so that customers can use an Assistant out of the box, or tailor and manage multiple Assistants from a single platform. These Assistants can be tailored to fit the needs of specific business scenarios and deployed and updated quickly without code or additional infrastructure.

One of its domain-specific Assistants is the Augmented Engineer, which empowers design teams with a unified view of projects, products, and parts and the ability to construct and search across a digital thread.

Its Assistants are powered by Sinequa’s search platform, combining hybrid search technology and three custom SLMs. A flexible Assistant framework makes it easy to define custom workflows informed by search and combine that with any generative AI model, whether commercial, private, or open source.

Sinequa’s Assistants execute multi-step workflows to accomplish complex tasks with reasoning, incorporating RAG as needed to fully leverage corporate knowledge. This ensures that the Assistant responds accurately, transparently, and securely, with the most up-to-date information, including inline citations to original sources and immediate traceability—and access—to those sources.

“Sinequa has been investing in Artificial Intelligence and leading Enterprise Search for the last 20 years thanks to our unmatched connectivity and scalability on enterprise content. Having pioneered the use of LLMs in search with our custom trained SLMs, Sinequa is perfectly positioned to take search and RAG to the next level with the release of Sinequa’s Generative AI Assistants,” sayd Jean Ferré, CEO and co-founder of Sinequa.

Sinequa has also launched a new brand identity and company website to reflect its new area of work augmented by Assistants informed by search and Sinequa’s role in advancing AI in the enterprise.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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