Resources

An Agent-Ready Schema Library for Reliable AI

Versioned schemas give AI agents authoritative definitions to consult before generating, reducing drift, failed payloads, and broken integrations.

• AI Agents
• Semantic Modeling
• Knowledge Graphs

Structured Context Retrieval: Your Content Had Structure. Your Retrieval Pipeline Threw It Away.

Your content had structure. Your retrieval pipeline threw it away. SCR retrieves components, not chunks — the accuracy gap is measurable.

The Stranger Problem: Why AI Agents Need Runtime Semantic Negotiation Before They Can Trust Each Other

AI agents can exchange data but cannot yet verify shared meaning. Learn why the Stranger Problem is the next major challenge for trustworthy multi-agent systems

• Artificial Intelligence
• Knowledge Graphs
• Semantic Web

Fabric lakehouse schemas group tables for access and four-part SQL

Microsoft Fabric docs on lakehouse schemas for domain grouping, schema-level access, cross-workspace queries, and schema shortcuts to external Delta.

• Schemas & Shapes
• Data Engineering
• Data Governance

Purview and Fabric as one path from source to Power BI lineage

Microsoft Learn article on using Microsoft Purview with Microsoft Fabric for estate-wide governance, classification, and end-to-end lineage.

• Data Governance
• Semantic Interoperability
• Content Operations

Delta table schema evolution: add, reorder, rename, widen types

Databricks guide to explicit and implicit table schema changes, including DDL column operations and conflicts with concurrent writes and streams.

• Schemas & Shapes
• Data Engineering
• Data Contracts

Knowledge Catalog: Gemini context graph for agents and governance

Google Cloud overview of Knowledge Catalog (formerly Dataplex Universal Catalog): an AI-powered catalog that builds a context graph to ground agents.

• AI Agents
• Knowledge Graphs
• Data Governance

Databricks Delta constraints: enforced checks vs informational keys

Databricks documentation of NOT NULL and CHECK enforced constraints versus informational primary, foreign, and unique keys on Delta Lake tables.

• Data Contracts
• Schemas & Shapes
• Data Engineering

Unity Catalog tags for search, ABAC inheritance, and governed keys

Databricks docs on applying key-value tags to Unity Catalog securable objects, including ABAC inheritance behavior and governed tags.

• Data Governance
• Ontology & Taxonomy
• AI Agents

The Stranger Problem: Runtime Semantic Negotiation for Trustworthy Multi-Agent Coordination

Introducing the Stranger Problem, a framework for runtime semantic negotiation that enables trustworthy interoperability between autonomous AI agents.

• Artificial Intelligence
• Semantic Web
• Knowledge Graphs

Structured Context Retrieval: Structure-Preserving Retrieval for Trustworthy Enterprise AI

Structured Context Retrieval (SCR): structure-preserving retrieval for trustworthy enterprise AI. Retrieve components, not chunks — 92% vs 68% baseline.

• Structured Context Retrieval
• retrieval-augmented generation
• knowledge graphs

Look Up Before You Make Up: Schema-Grounded Generation for Trustworthy Enterprise AI

Enterprise AI becomes more reliable when systems consult authoritative semantic structures before generating answers

• Enterprise Artificial Intelligence
• Knowledge Graphs
• Semantic Modeling