Document Architecture Lifecycle
Interactive flow: Ingestion, Hash Deduplication, AI Extraction, and Decision Engine
Scenario: All Paths
Path: New Doc (AI Pipeline)
Path: Duplicate Doc Reuse
Path: Service Offline Fallback
Path: Doc Update (Stale Re-eval)
Pause
Reset
Layer 01 // Ingestion
Layer 02 // Routing & Deduplication
Layer 03 // Python AI Service
Layer 04 // Decision Engine
POST
CACHE HIT
MISS
REUSE EXTRACT DATA
DISPATCH
503 / TIMEOUT
FLAG
DOC UPDATE (INVALIDATE)
APPLICANT UPLOAD
PAYLOAD: MULTIPART
HASH CALCULATION
SHA-256 DIGEST
DUPLICATE REUSE
BYPASS AI PIPELINE
NEW DOC QUEUE
SLOTS: [■][■][■][□]
CONCURRENCY: 4 ACTIVE
STALE INVALIDATION
PURGE PRIOR STATE
1. OCR ENGINE
TOKENS & BOUNDING BOXES
2. SCHEMA EXTRACTION
BOUND PYDANTIC MODELS
3. CONFIDENCE OUTPUT
ENTROPY & CERTAINTY
AI SERVICE FALLBACK
EMIT: REVIEW_REQUIRED
VALIDATION NODE
CLAIMS VS EVIDENCE
RISK: LOW / MED / HIGH
FINDINGS: 0 DISCREP
STATUS EMITTED
PASSED / REVIEW
Node Info
Hover or click any node in the processing pipeline to inspect details.
✕