The author outlines a design for a conversational analytics engine that can answer complex questions requiring both structured data and unstructured text. While the structured data pipeline and document retrieval stack are functional, the fusion of these two components to answer hybrid questions is still in the design phase. The proposed architecture relies on three knowledge graphs: Domain (schema), Subject (entities), and Lexical (documents), with identity acting as a bridge for access control. AI
IMPACT This design aims to bridge structured data queries with document retrieval, enabling more comprehensive answers from AI systems.
RANK_REASON The item describes a technical design and implementation for a specific type of AI system, detailing its architecture and current state of development. [lever_c_demoted from research: ic=1 ai=1.0]
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