Scientific Definition
Generate based on retrieved documents, not just trained weights.
Plain-English Definition
Generate based on retrieved documents, not just trained weights.
Feynman Explanation
Memory the model didn't have to memorize.
Core Principle
Generate based on retrieved documents, not just trained weights.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
Memory the model didn't have to memorize.
Examples
- Enterprise chatbots grounded in internal docs.
- Standard pattern for enterprise LLM deployment.
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Famous Experiments
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Design Principles
- Quality of retrieval matters more than quality of generation.
Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Quality of retrieval matters more than quality of generation.
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Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
AI system that takes actions to achieve goals, often across tools.
Designing processes from scratch around AI capability.
The relationship between inputs and outputs changes.
How much input the model can process at once.
Underlying data distribution changes over time.
Vector representation of content for similarity and search.
Evaluation suites that no longer reflect real-world conditions.
Systematic testing of model quality, safety, and capability.
Models learning from examples in the prompt.
How much delay the user experience tolerates.
Train a smaller model to imitate a larger one.
Performance degradation as real-world data shifts.