The shortest path to understanding the active runtime.
This page is not the full installation manual. It is the compressed view of the documented setup sequence and the order in which to read the supporting pages.
Use This Page First
Read this page before diving into service-specific setup. It gives you the page map you need so the backend, AI service, and related concepts make sense in relation to each other.
The pieces you should care about first
A local NeuroLab run usually starts with prerequisites, then the backend or AI service pages, then the API reference and concepts.
Core service
Core Services
Setup and runtime overview
Start here if you want the shortest path through the documented pages.
AI service
AI Service
AI analysis, inference, and model documentation
The AI service pages describe the analysis and inference surface at a level suitable for setup and integration.
Clients
Client Applications
Docs and reference pages
The docs app helps you navigate the rest of the documented platform.
Data and Infrastructure
Data and Infrastructure Layer
Support services and deployment dependencies
The supporting services page group covers the external systems the docs refer to, such as datastores, queues, and storage.
Runtime Components and Architecture
These are the main components that make up the core runtime of the system.
Step | What to run | Why it matters |
|---|---|---|
1 |
| This is the first step for a local or deployed environment. |
2 |
| This is the primary application boundary described in the docs. |
3 |
| Required for AI-specific setup and integration work. |
4 |
| Use the docs app once you know which service page you need next. |
Go deeper from here
Setup
Prerequisites
Tooling and environment assumptions before setup.
Service
Backend Setup
Installation, environment, and startup details for the main API.
Service
AI Service Setup
Runtime requirements and setup details for the AI service.
Runtime
Architecture
Service boundaries, infrastructure, and integration patterns.