Enterprise Knowledge Graph

Semantic representation of an organization’s data, files, metadata, business logic, and relationships so AI agents can ground actions in trusted business context.

Key points

• Google Cloud’s Knowledge Catalog constructs a unified, dynamic context graph across the business to ground agents in data and semantics ^[src-044].
• Smart Storage and Object Context API tag and enrich files in Google Cloud Storage with metadata before an agent touches them ^[src-044].
• A Knowledge Engine uses Gemini to tag, define logic, and map complex relationships across the enterprise ^[src-044].
• The goal is to provide the missing semantic definition agents need to act on enterprise data rather than only retrieve documents ^[src-044].

Related concepts

• Agentic Data Cloud
• Context Quality Engineering
• LLM Knowledge Bases (Karpathy pattern)
• RAG Retrieval Methods
• Machine-Scannable Content

Source references

• ^[src-044] Thomas Kurian — “Welcome to Google Cloud Next ’26” (2026-04-22)