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Getting Started

IntroductionQuickstartHow It Works

Core Concepts

AI AgentSimulation WorkflowEngineering PipelineKnowledge BaseArchitecture

Features

OverviewChat InterfaceCanvas & ArtifactsSharing & CollaborationExports & ReportsVoice InputMulti-Model AIProjectsTemplates & WorkflowsFile UploadsDeep ResearchWeb SearchCode ExecutionImage GenerationMCP ConnectorsInteractive DashboardsParallel ExecutionURL RetrievalFreeCAD CADSimulationsTemplatesConvergence Monitoring

Simulation

OverviewSupported TypesMesh GenerationError RecoveryBatch & SweepsResults Comparison

Studies & Analysis

OverviewDOE & Parametric SweepsOptimizationComparison

Validation & Reviews

OverviewBaselines & VersioningEngineering ReviewsRegulatory Compliance

3D Viewer

OverviewVisualization ToolsKeyboard Shortcuts

Enterprise

OverviewAdmin PanelOrganizationsKnowledge ManagementMethod Packs

Account

Getting StartedSettingsBilling

Examples

OverviewAerodynamicsPipe FlowHeat TransferStructural
  1. Docs
  2. Enterprise
  3. Knowledge Management

Knowledge Management

Build an org-wide knowledge base with collections, governance, and semantic search.

SimPilot's knowledge management system lets your organization capture, organize, and share simulation expertise. The AI automatically draws on this shared knowledge when making physics decisions -- so lessons learned by one engineer benefit the entire team.

The /knowledge page

Navigate to /knowledge from the sidebar to browse and manage your organization's knowledge base. The page provides:
  • Search: Find relevant knowledge using natural language queries
  • Collections: Browse documents organized by topic
  • Recent additions: See what's been added recently
  • Your contributions: Track documents you've authored

Knowledge collections

Group related documents into collections for easy browsing:
  • Best practices: Standard approaches for common simulation types
  • Postmortems: Lessons learned from failed simulations
  • Reference data: Material properties, experimental correlations, design standards
  • Templates: Reusable simulation configurations and report structures
Collections can be nested and tagged for flexible organization.

Document types

Add knowledge in multiple formats:
TypeDescription
UploadsPDF, Word, or text files with technical content
URLsLinks to external references (papers, forum posts, vendor documentation)
NotesFree-form text entries written directly in SimPilot
PostmortemsStructured reports from simulation failures with root cause and resolution
TemplatesReusable simulation configurations

Semantic search

Find relevant knowledge using natural language -- no need to remember exact titles or keywords:
"What turbulence model should I use for separated flow over a backward-facing step?"
The search returns ranked results from across your org's knowledge base, scored by relevance. Results include snippets showing why each document matched.

Trust levels

Every knowledge entry has a trust level indicating its verification status:
LevelMeaning
VerifiedReviewed and approved by a designated knowledge owner
UnverifiedAdded but not yet reviewed -- may contain errors
InternalProprietary content restricted to org members
Trust levels are visible in search results so users can assess reliability at a glance.

Governance

Control who can add, edit, and approve knowledge:

Contribution policies

Define who can add new knowledge: all members, editors only, or specific designated contributors.

Review workflow

New entries can require approval before becoming visible. Designated reviewers verify accuracy and assign trust levels.

Edit permissions

Control who can modify existing entries. Verified entries may require re-approval after edits.

Org memory

The AI automatically queries the organization's knowledge base before making physics decisions. This means:
  • Best practices are applied consistently across all team members
  • Past failures inform current decisions -- the same mistake is not repeated
  • Tribal knowledge becomes searchable and accessible to new team members
  • Cross-project learning happens automatically: a solution discovered in one project benefits all future projects
Growing smarter over time
The knowledge base becomes more valuable as your team uses it. Each postmortem, best practice, and validated approach makes the AI's recommendations more accurate and more aligned with your organization's standards.
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Method Packs

Formalize knowledge into reusable, enforced simulation procedures.
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Knowledge Base

How the AI's built-in knowledge system works.
PreviousOrganizationsNextMethod Packs

On this page

The /knowledge pageKnowledge collectionsDocument typesSemantic searchTrust levelsGovernanceOrg memory