Reasoning Atlas Overview

The visual mapping tool that shows how objects, data, and processes connect across your Reasoning Flows.

Purpose

The Reasoning Atlas is a visual and semantic map within Reasoning Flows that displays how all your objects — data pipelines, transformations, AI workflows, and more — are interconnected. It provides a complete picture of data lineage, dependencies, and process flows.

Unlike working directly in Reasoning Flows where you create and manage individual objects, the Reasoning Atlas gives you a bird's-eye view of your entire data ecosystem, making it easy to understand how data moves through your organization.

Reasoning Atlas visualization showing interconnected data nodes and relationships

Where to Find It

Reasoning Atlas is accessed from the main navigation:

Reasoning Flows
├── Reasoning Flows  → Create and manage objects
└── Reasoning Atlas  → View visual map of all objects

Interface Overview

Filters

Filter by Object Type
Narrow the view to specific types of objects (Data Pipelines, AI/ML Workflows, Notifications, etc.).

Filter by Language
Filter objects by implementation language (PHP, Python, SQL).

View Options

View Linear Flow
Toggle to display objects in a linear sequence rather than a network graph.

Search
Find specific objects by name using the search bar.

Navigation Controls

Zoom In/Out (+/-) — Adjust the view scale
Fit — Auto-fit all objects in the viewport
Lock — Lock the current view position

Visual Elements

The Atlas displays objects as color-coded nodes connected by flow lines:

Color	Meaning
🟢 Green	Active/healthy objects
🟠 Orange	Objects requiring attention
🔵 Blue	Data sources or inputs
⬜ White/Gray	Supporting or inactive objects

Flow lines show the direction of data movement, typically from left (sources) to right (outputs/consumers).

Key Benefits

End-to-End Visibility
See how data sources, AI models, and business processes connect across the entire platform.

Data Lineage & Governance
Track the journey of data from source to outcome, ensuring traceability and compliance.

Cross-Team Alignment
Provides a shared reference point for business, engineering, and data science teams.

Impact Analysis
Before modifying an object, see what downstream processes depend on it.

Debugging & Troubleshooting
Quickly identify broken connections or failed processes in the visual flow.

Common Use Cases

Understanding Data Flow
New team members can quickly understand how data moves through the system by exploring the Atlas.

Impact Assessment
Before changing a data pipeline, check the Atlas to see which downstream objects depend on it.

Documentation
Use the Atlas view as living documentation of your data architecture.

Auditing & Compliance
Demonstrate data lineage and governance to auditors by showing the complete flow from source to output.

Optimization
Identify redundant processes or opportunities to consolidate workflows.

Best Practices

Organize objects logically. Use clear naming conventions so the Atlas is easy to navigate.

Use Project Categories consistently. Proper categorization makes filtering more effective.

Review the Atlas regularly. Check for orphaned objects or broken connections.

Document object purposes. Add descriptions to objects so their role is clear in the Atlas view.

Use linear flow for presentations. The linear view is easier to explain to stakeholders.