Architecture v4.12.0

Technical
Infrastructure

The high-precision instrument powering enterprise document intelligence. Built for scale, security, and sub-second latency.

Response Latency

Global Edge Network Performance

speed
< 200ms
p95 API Response
< 5 min
AI Processing (async)
327+
Test Cases (72% coverage)

terminalKernel Stack

FastAPI + Python 3.12PostgreSQL 16 + pgvectorRedis 7 AlpineMinIO (S3-compat)ZITADEL (OIDC)Celery + WebSocket + SSE

"Architecture optimized for asynchronous I/O and vector search embedding throughput."

System Topology

Stage 01

API + Auth Layer

FastAPI on Uvicorn (ASGI). OIDC JWT validated against ZITADEL JWKS endpoint on every request. Permission cache in Redis for sub-millisecond lookups.

Authorization: Bearer <oidc_jwt> # Base: /api/v1/ # Swagger: /api/docs
Stage 02

AI Processing

Celery async workers: text extraction (pdfplumber/python-docx), LangChain classification + summarization, OpenAI embeddings, pgvector chunk indexing.

Active
Stage 03

Data Layer

PostgreSQL 16 + pgvector for primary data and semantic search. Redis 7 for Celery queues and permission cache. MinIO (S3-compatible) for all file objects.

Active
Stage 04

Real-Time Layer

WebSocket endpoint for live presence, cursor tracking, and lock notifications. SSE streaming for document Q&A token-by-token delivery.

Active

Scalability & Resource Profiles

TierCompute NodeStorage ThroughputMax ConcurrencyDeployment
Sandbox2 vCPU / 4 GB RAM250 MB/s50 ops/secDocker Compose
Standard8 vCPU / 32 GB RAM1.2 GB/s450 ops/secK8s / Helm v3
Enterprise High-Perf32 vCPU / 128 GB RAM5.5 GB/s (NVMe)2,500+ ops/secBare Metal / K8s
Neural Engine

AI Processing Throughput

The AI pipeline runs as a Celery async task. Classification and summarization complete within 5 minutes of upload. Files are streamed directly to MinIO — the API server never buffers file bytes in memory. Permission lookups are cached in Redis and invalidated immediately on mutation.

  • Alembic zero-downtime DB migrations (expand/contract)
  • Full version history — no version ever deleted
  • Multi-tenant ORM-level org_id isolation
  • LangChain pluggable AI provider (OpenAI / Claude / Gemini / Ollama)
pipeline_config.yaml
version: "2.4.0-stable"
ai_pipeline:
provider: "openai" # or anthropic / gemini / ollama
process_on_upload: true
embedding_dimensions: 1536
storage:
database: "postgres+asyncpg://..."
cache: "redis://redis:6379"
object_store: "minio:9000"
guarantees:
api_p95_latency: "<200ms"
ai_processing_sla: "<5min"

Ready for Infrastructure Integration?

Detailed API documentation, OpenAPI schemas, and deployment scripts are available in the partner portal.

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