In episode 75, at 17:57, WisdomAI’s Kapil Chhabra uses a quarter-based question to explain the need. Finance may mean a fiscal quarter while marketing means a calendar quarter. A metric definition alone does not resolve which interpretation the question needs.
Chhabra’s proposed context layer includes instructions and worked query examples alongside those definitions. In the memory discussion, Chhabra distinguishes company-approved definitions from an individual’s preferences. Someone’s preferred chart format should not change the shared definition of churn.
In the semantic-layer comparison, Chhabra adds natural-language instructions and examples of good queries to metric definitions. This is why the guest describes the context layer as broader than a semantic layer or catalog.
The interview was sponsored by WisdomAI. These are the guest’s architectural claims, not evidence that adding a context layer guarantees correct answers.
Our distinction: context engineering covers choosing and maintaining the information supplied to a model. A context graph represents business entities and relationships with rules attached. A context layer describes the role of shared context without requiring that graph representation.
Hear it from the guest
“So context layer is broader than a catalog and a semantic layer.”
Quotes lightly edited to remove filler words.
Sources
- Episode 75: Kapil Chhabra on business context — WisdomAI's CPO describes definitions, instructions, and examples in a sponsored interview; this is the guest's account of the architecture.
Go deeper
- What is context in an AI agent? AI, decoded · The 5 Sources of Context an AI Agent Needs
- What is the difference between prompt, context, and memory engineering? AI, decoded · Prompt vs. Context vs. Memory Engineering
- What is the difference between a semantic layer and a context layer for AI? AI, decoded · Semantic Layer vs. Context Layer for AI
From the conversation
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Why Context Alone Isn't Enough for Enterprise AI Agents | WisdomAI CPO Kapil Chhabra -
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