Interactive enterprise architecture workbench

Shape the LLM system before you commit to the build.

Explore private, frontier, and hybrid model paths, then layer in retrieval, governance, delivery, and tool boundaries. Use the controls directly or ask Quinn AI to reshape the same architecture as you describe your constraints.

AI-linked architecture

Ask Quinn AI to compare tradeoffs or change the validated stack and topology while you work through requirements.

Shareable designs

Copy a link to the current architecture. The URL contains typed diagram selections only, never chat text or private inputs.

Constrained by design

Model output can only choose from allowlisted architecture fields. It cannot inject arbitrary nodes, scripts, URLs, or credentials.

QF / EXPLORE THE STACKInteractive + AI

Quinn AI / diagram control

Describe your data boundaries, model path, hardware, scale, latency, governance, or tool needs. Quinn AI can discuss the tradeoffs and update both the stack and its live architecture topology.

Starting points

Select a layer, load a starting point, tune the topology, or ask Quinn AI to reshape the architecture.

What runs the model?

Choose one

Built by Quinn

Local apps & APIs

Inference engines

Windows / OpenVINO

InferBridge

My local AI runtime makes supported Intel CPU, GPU and NPU hardware usable through a Windows interface and OpenAI-compatible APIs.

OpenVINO does the inference; InferBridge brings model setup, controls and diagnostics together.

Explore InferBridge

05 / HardwareWhat does your team use?

Combine options

Built by Quinn

Local apps & APIs

Inference engines

Token efficiency / application layer

Intel workstation

Put an OpenAI-compatible API in front of separately installed model backends. Useful when you want one self-hosted entry point for multiple model capabilities.

Dry-run previews, scoped permissions, idempotency, and clear rollback paths make approvals meaningful rather than ceremonial.

Read the docs

InferBridge targets Intel workstation. Switch hardware to explore that deployment path.

Live architecture topology

See how the selected pieces connect.

Each lane has its own visual language so data, retrieval, inference, governance, delivery, and tool boundaries remain easy to scan. Quinn AI changes the same validated architecture state shown here.

6 nodes · 5 connections

SourcesEnterprise data

Data source

Internal documents

Policies, runbooks, knowledge bases, and other document collections that can be retrieved with source evidence.

KnowledgeRetrieval + memory

Retrieval

RAG retrieval

Scoped retrieval and evidence selection before model generation.

Retrieval

Qdrant

Vector search layer used by the retrieval path.

Model pathInference + routing

Model endpoint

InferBridge endpoint

Intel workstation private inference path.

ControlsPolicy + governance

Control plane

Enterprise controls

SSO · RBAC · Audit trail · Tracing · evals

DeliveryUser + app surface

Delivery surface

Team assistant

User or application surface consuming the governed model capability.

Typed connectionsExact graph edges

Internal documentsRAG retrievalindexed knowledge
RAG retrievalQdrantembedding search
QdrantInferBridge endpointretrieved context
InferBridge endpointEnterprise controlsgoverned request path
Enterprise controlsTeam assistantrequest / response

Model path

Serve model weights inside infrastructure you control and expose them through the selected runtime.

Data sources

Sources are represented explicitly. With RAG selected they feed the retrieval path; otherwise they feed selected request context.

Retrieval store

A dedicated vector database for embedding search and retrieval pipelines.

Tool access

Keep the architecture read-only and conversational until a concrete automation requirement is validated.

The topology describes intended architecture only. It does not prove that a provider, database, identity system, policy, or tool integration has been deployed.

Architecture starting points are illustrative, not production sizing or proof that a selected component or control is implemented. Shared links contain validated stack and topology selections only, never chat content or private data.

Current architecture brief

The diagram, summarized as an operating model.

Live from diagram

Model path: Private model; InferBridge on Intel workstation
Knowledge: RAG · Qdrant · Context budget. Internal documents → Qdrant → retrieval context
Governance: SSO · RBAC · Audit trail · Tracing · evals
Delivery: Team assistant; tool boundary: No tool boundary

Use this as a planning surface, not proof of deployment.

The workbench captures architecture intent and tradeoffs. Production sizing, security controls, identity integration, data handling, and operational readiness still need validation against the real environment.

Discuss the architecture