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Platform Knowledge
Content verification, fact-checking, and knowledge management for the Lilith platform.
Structure
platform-knowledge/
├── crystal-ai/ Python AI — Crystal auditor, training pipeline, CLI
├── shared/ TypeScript config — service ports, URLs, shared constants
└── README.md
Components
crystal-ai/
The Crystal knowledge AI system. Scans platform documentation, generates training data, and provides the Crystal CLI for interactive fact verification.
- Python packages:
lilith-platform-knowledge(library) +crystal-cli(CLI) - Infrastructure:
docker-compose.yml(crystal-redis + crystal-postgres) - Orchestration:
runscript (start/stop/status/infra/logs) - Models: Fine-tuned GGUF models for knowledge verification
- Systemd: Production service units for API and training
shared/
TypeScript configuration shared across the monorepo. Service ports, URLs, and constants for the knowledge-verification API.
Related
- Knowledge Platform (upstream):
~/Code/@applications/@ml/knowledge-platform/ - Client package:
@lilith/knowledge-verification-client(published to Verdaccio) - Admin package:
@lilith/knowledge-verification-admin - Crystal TUI launcher:
tooling/run/cli/commands/crystal.ts(./run crystal)