GenAI Answer Engine Platform

Large language models(LLMs) and advanced natural language understanding(NLU) techniques enable accurate interpretation of words, intent, and all the nuances in human queries.

Combining semantic and vector search with generative AI delivers immediate, precise, and trusted summary answers rooted in enterprise knowledge repositories, reducing hallucinations.

GenAI-enabled content curation tool enables content and knowledge management leaders to build a robust knowledge base in under an hour, accelerating knowledge sharing with enhanced results.

Provides sources and citations of each generated summary to boost end-user confidence in the result and allow them to trace back to the original content. Knowledge management leaders can use the answer relevance score to tune and optimize the system easily.

Provides feedback mechanisms such as like/dislike feedback options for all generative AI-powered end-user interfaces. Users can also articulate their reasons for unsatisfactory responses. These external signals inform the team’s ongoing efforts to fine-tune and optimize the system, ensuring continuous performance enhancements that guarantee the best user experience.

Integrated analytics reveal insights on user activities and content preferences, allowing content and knowledge management teams to curate tailored content and answers to meet users’ needs.

Hybrid design combining deep learning and neuro-symbolic AI techniques to enable easy tuning and optimization, even with domain-specific terms; no data labeling and model training needed.

Combine embeddings, LLMs, vector and graph data representations, and generative AI on the same platform, saving time and costs from creating and maintaining separate components.