Concept
Data contracts, lineage, and traceable RAG catalog
Three pillars to build trustworthy, observable, and auditable data & AI systems.
Data Contracts
Define data interfaces, schemas, quality SLOs, and SLAs as contracts for safe cross‑team change.
- • Schema and versioning
- • Quality gates (latency, completeness, uniqueness)
- • Consumer impact assessment and rollback
Data Lineage
Track dependencies from sources to consumers to locate blast radius, root causes, and compliance risks.
- • End‑to‑end lineage (raw → warehouse → semantic layer → apps)
- • Change impact analysis
- • Compliance audit and data sovereignty
Traceable RAG Catalog
Make sources, chunks, embeddings, retrievals, and answers traceable and auditable.
- • Source → Chunk → Embedding → Retrieval → Answer
- • Citations and provenance
- • Feedback loops and quality metrics
Why it matters
When data becomes a product‑level dependency, contracts, lineage, and traceability enable reliability and governance.
Trust & Reliability
Verifiable quality and provenance reduce incidents and regressions, increasing team confidence.
Change Velocity
Clear dependencies and contract versioning reduce change costs and speed up delivery.
Compliance
Provenance and reproducible evidence satisfy audit and regulatory requirements.