aiqbench analysis
Didact addresses the fragmentation of defense research data by integrating heterogeneous reports into a knowledge graph powered by a composite RAG pipeline. Its interactive Evidence Rail visualizes source relationships to enhance auditability and accelerate capability discovery for policymakers. While currently tailored for the Australian context, the system's architecture offers a scalable model for other sectors facing similar information silos.
Didact: A Cross-Domain Capability Discovery System for Defence
arXiv:2606.06942v1 Announce Type: new Abstract: Policymakers in defence and defence-aligned sectors must monitor rapidly evolving research alongside sector priorities relevant to operational and strategic needs. In practice, these sources are fragmented across heterogeneous formats, disjoint repositories, and siloed update streams, making capability discovery slow and difficult to audit. We present Didact, a prototype that integrates publicly available defence reports and policy documents from Australia with a purpose-built knowledge graph derived from Australian research publications. Didact provides natural language conversations for policy-oriented workflows, and leverages a composite retrieval-augmented generation (RAG) pipeline. A key feature of Didact is an interactive Evidence Rail that visualises retrieved evidence and source relationships. Our evaluation of the output quality and runtime of Didact highlights its utility. While Didact has been co-developed as an academia-industry project for the Australian context, it is adaptable to other domains where knowledge is similarly fragmented. A demonstration video is available here:
Abstract:Policymakers in defence and defence-aligned sectors must monitor rapidly evolving research alongside sector priorities relevant to operational and strategic needs. In practice, these sources are fragmented across heterogeneous formats, disjoint repositories, and siloed update streams, making capability discovery slow and difficult to audit. We present Didact, a prototype that integrates publicly available defence reports and policy documents from Australia with a purpose-built knowledge graph derived from Australian research publications. Didact provides natural language conversations for policy-oriented workflows, and leverages a composite retrieval-augmented generation (RAG) pipeline. A key feature of Didact is an interactive Evidence Rail that visualises retrieved evidence and source relationships. Our evaluation of the output quality and runtime of Didact highlights its utility. While Didact has been co-developed as an academia-industry project for the Australian context, it is adaptable to other domains where knowledge is similarly fragmented. A demonstration video is available here:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
arXiv:2606.06942 [cs.CL]
(or arXiv:2606.06942v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2606.06942 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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