Package 4
LLM / RAG Data Layer
Build ingestion, enrichment, and validation before model output reaches customers.
What gets covered
- → Source ingestion and normalization
- → Entity enrichment and context assembly
- → Agent workflows and quality validation
- → Ledgered provenance for downstream trust
What gets delivered
- → Operational data layer for AI features
- → Validation checkpoints before serving
- → Audit trail for source and transformation provenance
Stack
- Vertex AI
- OpenAI
- Python
- Rust
Proof
Threat-intelligence catalog rebuilt as a pipeline
Security operations
Ends on: 20+ sources and 20,000+ records processed with SHA-256 provenance.
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