Government contractors and defence firms face a unique challenge: winning public-sector contracts requires demonstrating deep past performance, meeting complex compliance requirements, and assembling comprehensive proposals under tight deadlines. The knowledge needed to win is scattered across years of proposals, performance reports, and compliance documentation.
RAG (Retrieval-Augmented Generation) enables government contractors to search across this entire library — surfacing past performance, compliance evidence, and technical approaches in response to natural-language queries, within their own secure infrastructure.
Why Government Contracting Is Different
- •Past performance is everything — RFPs heavily weight past contract performance
- •Compliance is mandatory — a single missed item can disqualify a proposal
- •Security requirements — classified work requires air-gapped environments
- •Tight deadlines — short RFP response windows require rapid proposal assembly
Government Contracting Use Cases
Past Performance Retrieval
Query "Find all past contracts involving cloud migration for federal health agencies with a value over $5M" and get relevant past performance narratives with source citations.
Compliance Matrix Generation
RAG searches past proposals for how similar compliance requirements were addressed, surfacing relevant language that can be adapted for the current response.
Technical Approach Development
Query architecture documents, solution designs, and past technical volumes to assemble the technical approach section of a proposal with cited sources.
Personnel Qualification Matching
Search across personnel databases and resumes to find candidates matching specific contract requirements — clearances, certifications, and relevant experience.
Air-Gapped and On-Premise Deployment
- •Air-gapped deployment — entire RAG stack runs on-premise with no internet, using open-weight models like Llama
- •BYOC for unclassified work — AWS GovCloud deployment with data sovereignty
- •ITSG-33 alignment — Canadian government security controls for government information
Canadian Funding for Defence AI
- •SR&ED tax credits — novel RAG development qualifies as experimental development
- •NRC IRAP — innovative AI technology development
- •IDEaS (Innovation for Defence Excellence and Security) — DND's defence innovation program
Next Steps
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