RAG & Knowledge Systems for Government: Policy, Public Records
Government RAG systems make accessible the vast bodies of policy, regulation, internal procedures, and historical decisions that government work depends on: for policy staff, compliance officers, caseworkers, and citizens. BearPlex builds these systems with FedRAMP-eligible architecture, sovereign deployment in GovCloud or on-prem, accessibility compliance (Section 508, WCAG 2.2 AA), and audit logging that satisfies OIG / IG review. We've shipped RAG systems for federal and state government clients across policy research, regulatory analysis, FOIA support, and internal knowledge management.
Why RAG & Knowledge Systems matters in Government & Public Sector
Government has the largest knowledge bases of any sector and arguably the worst search experience. The Federal Register, CFR, USC, agency guidance documents, congressional testimony, GAO reports, OIG reports: all are nominally public, often poorly indexed, and rarely searchable in ways that match how policy staff actually work. The opportunity is large for both internal productivity (policy staff spend 30-50% of their time finding information) and citizen services (public-facing search is a noted pain point in government UX). The constraints that shape engagements parallel autonomous-agents × government but with retrieval-specific considerations: (1) FedRAMP / StateRAMP for cloud authorization; (2) Section 508 / WCAG accessibility for public-facing interfaces; (3) FOIA preservation of search records; (4) Sovereignty and data residency; (5) Citation accuracy is critical: incorrect citations to regulations can have legal consequences; (6) Multi-language requirements for citizen-facing systems serving diverse populations. The systems that work in government RAG are designed for these constraints, with citation tracking, accessibility, and audit logging as first-class features.
Typical rag & knowledge systems use cases in government & public sector
| Application | Description | Timeline | Tech stack |
|---|---|---|---|
| Policy and regulatory research assistant | Internal RAG for policy staff over CFR, USC, Federal Register, and agency guidance. Cuts research from hours to minutes with verified citations. | 12-18 weeks | LlamaIndex deployed in GovCloud · Claude with citation API · RAG over Federal Register + CFR + USC · Audit logging for FOIA |
| Public-facing regulatory search | Citizen-facing search over agency regulations, public guidance, and consumer information. Section 508 accessible, multilingual, designed for varied digital literacy. | 14-20 weeks | Hybrid retrieval (semantic + keyword) · Claude with structured citations · Multilingual support · WCAG 2.2 AA UX |
| Compliance and audit assistant | Internal RAG for compliance and audit staff over agency procedures, OIG reports, and audit history. Surfaces relevant precedent for compliance work. | 12-16 weeks | LlamaIndex · Claude · Sovereign vector deployment · Integration with agency document management |
| Caseworker decision support | Decision support for caseworkers in benefits, immigration, and appeals: precedent decisions, policy guidance, similar cases. Humans make the decisions. | 16-22 weeks | RAG over case precedent + policy · Claude with citation API · Case management system integration · Audit logging for OIG |
| Internal Q&A and operational knowledge | Employee-facing RAG over internal procedures, HR policies, and institutional memory. Accelerates onboarding and answers routine internal questions. | 10-14 weeks | LlamaIndex · Claude · Integration with SharePoint / internal document systems · SSO integration |
What we've learned deploying rag & knowledge systems in government & public sector
Three patterns from BearPlex government RAG engagements: (1) Citation accuracy is non-negotiable; citing the wrong CFR section in policy research can have real consequences; we use Claude's citation API or custom output validation that rejects responses with unverified citations; (2) Public-facing systems require much more accessibility investment than internal: Section 508 + WCAG + multilingual + variable digital literacy of citizen population; we plan accessibility as a first-class workstream rather than a phase at the end; (3) Procurement timelines exceed engineering timelines: federal procurement frequently takes 6-18 months from initial conversation to contract; we structure engagements assuming this rather than expecting commercial-sector procurement speed. The clients who succeed in government RAG plan for these constraints from the beginning.
Government & Public Sector compliance considerations
Government RAG must meet: FedRAMP authorization for federal cloud deployment (Moderate or High), Section 508 + WCAG 2.2 AA for accessibility, FOIA / Privacy Act / FISMA for data and records handling, OMB M-24-10 and follow-on guidance for federal AI use, NIST AI RMF for AI risk management, and agency-specific requirements (HIPAA for HHS systems, CJIS for criminal justice, ITAR for defense). State and local equivalents apply for non-federal engagements. For citizen-facing systems, bias and disparate impact analysis is increasingly required. BearPlex designs around these constraints from day one: FedRAMP-eligible cloud, accessibility built in, citation tracking with audit logging, and procurement-friendly documentation.
Common questions
Architecturally. We use Anthropic's structured citation API for Claude-based generation, plus custom output validation that rejects any response with unverified citations. For high-stakes legal / regulatory citations, we add human review checkpoints before responses are accepted as authoritative.
Yes: required for any federal-facing system. WCAG 2.2 AA from day one, automated and manual accessibility testing including screen readers, keyboard-only operation, and high-contrast modes. For systems serving citizens with disabilities specifically, we conduct usability testing with actual users.
Yes: production AI for government must preserve records satisfying FOIA. We architect for this: every search query, retrieved documents, and generated response logged to immutable storage with appropriate retention periods, full audit trail accessible by records officers, and tooling for FOIA officers to retrieve records by criteria.
Yes: common requirement. We use multilingual embedding models for cross-language retrieval, language-appropriate UX, and quality control across languages. Languages we've shipped include English, Spanish, Chinese (simplified and traditional), Vietnamese, Korean, Tagalog, Russian, Haitian Creole, and Arabic.
$280K-$1.2M for a 12-22 week engagement depending on scope, FedRAMP / accessibility requirements, and integration complexity. Includes: architecture, document ingestion, vector index, retrieval layer, citation infrastructure, sovereign deployment, accessibility-first UX, audit logging, and 60-day handover. Procurement and contracting timelines are separate.
Yes: common engagement type. State and local government RAG requirements parallel federal but with state-specific frameworks (StateRAMP, state public records laws, state accessibility requirements). We've shipped engagements at state agency and large municipal levels.
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