Grounded AI: The Reference Architecture an FDE Deploys
Offline ingestion indexes the customer's data; the online query path grounds the model and returns cited answers
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Inspecting compiled semantics
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Two flows
• Offline: index the customer's data once (and re-sync)
• Online: retrieve, ground, answer per request
• The value is the data, not the model
The hard parts the demo skipped
• Data is messy — cleaning and chunking drive quality
• Retrieval must respect permissions (a security requirement)
• Bad answers are usually retrieval failures, not the model
Trust by design
• Route via a gateway: provider-independence, cost, logging
• Return citations so users can verify
• Abstain when the answer isn't in the data
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