Part 11/13:
The proposed architecture combines:
Data Sources: Diverse structured and unstructured data.
Metadata Enrichment: Automated, AI-assisted tagging and documentation.
Compute Layer: Parsing, transformation, and embedding generation.
Context Service: Knowledge graphs, vector stores, and search services.
Governance Layer: Access control, compliance, and sensitivity labels.
All components work together, enabling the creation of domain-specific agents (e.g., a customer agent) capable of answering complex, context-rich queries. Larger implementations can consist of multiple agents, unlocking broad scope for automating enterprise tasks.