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:
Type
Description
Uploads
PDF, Word, or text files with technical content
URLs
Links to external references (papers, forum posts, vendor documentation)
Notes
Free-form text entries written directly in SimPilot
Postmortems
Structured reports from simulation failures with root cause and resolution
Templates
Reusable 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:
Level
Meaning
Verified
Reviewed and approved by a designated knowledge owner
Unverified
Added but not yet reviewed -- may contain errors
Internal
Proprietary 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.