PolicyRAG AI
Enterprise Policy Copilot & Compliance Platform
Trusted Enterprise Architecture Demo
Architecture Selection

Choose Your Enterprise Policy AI Experience

Understand how your company's documents are indexed and queried. Compare standard vector similarity search against autonomous, multi-tool reasoning across all departments.

Basic Semantic Search

⚡ Standard RAG

Single-hop semantic vector retrieval. Matches query embeddings against document chunk embeddings to synthesize a direct answer.

  • Fast single-pass retrieval for simple FAQ queries
  • Finds exact verbatim paragraphs & clauses
  • Fails at numerical math & multi-step calculations
  • Cannot resolve cross-document policy contradictions
  • No autonomous tool execution or multi-department routing
Enterprise Intelligence ★ RECOMMENDED

🧠 Agentic RAG

Autonomous multi-hop agent. Autonomously routes between internal department policies, executes deterministic calculators, and reconciles rules.

  • Autonomous Multi-Department Routing: Cross-references HR, Finance & Admissions
  • Deterministic Math: Exact leave days, fees, and surcharge calculation
  • Cross-Document Reconciliation: Flags contradictions between departments
  • Transparent Reasoning Trace: Inspect every step & tool execution
  • Enterprise Data Privacy: 100% tenant-isolated Qdrant sandbox
AH

Acre Home Enterprise Copilot

Multi-Department Sandbox | user@acrehome.com
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🧠 Agentic RAG Active
Filter Scope:
Multi-Category Tenant Sandbox | Isolated Qdrant DB
🏢 Welcome to the Acre Home Enterprise Policy Copilot
Your corporate documents across Human Resources, Finance, Admissions, and Operations have been compiled into an isolated Qdrant vector sandbox.

Ask questions across any department below. The system automatically retrieves verified passages from your documents and calculates exact numerical terms.

📄 Verified Questions Grounded in Uploaded Documents: