Knowledge Catalog: self-learning context enrichment for AI agents
Today, we’re launching self-learning context enrichment (preview) and a reimagined Knowledge Studio experience (preview) in Knowledge Catalog, Google Cloud’s context engine for agents. Building on Knowledge Catalog's existing Gemini-powered enrichment, self-learning enrichment analyzes agent and user interactions to find gaps and keep your business context accurate and current. Knowledge Studio is the new command center for context engineers and data stewards to explore their data estate conversationally, navigate a visual context graph, and review proposed changes to the context graph before they are published to their users and agents.
An agent is only as good as the organization-wide definitions, rules, and relationships it reasons over — the context, as it were. That’s why curating context has become one of the most important disciplines in enterprise agentic capabilities. Today, most of that work happens by hand. Context engineers write prompts and mappings agent by agent, while data stewards try to...
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