Glossary
Knowledge and control layer
A knowledge and control layer is the structure that sits between a company's knowledge and the AI engines, above every engine rather than inside one. It organizes company knowledge into a form models can reason over, and controls what comes back: every output carries a source reference and a calibrated confidence level, and the layer abstains when no sufficient source exists.
What are the two halves?
The knowledge half structures what the company knows. Source files preserve the written record; enriched files encode the judgment of senior experts as contexts and catalogs. Together they form decision DNA, a company-owned knowledge library that AI engines reason over instead of sampling from blindly.
The control half governs what comes back. Every output carries a source reference and separates what documents say from what the platform concluded. Every output carries a calibrated confidence level. And when no sufficient source exists, the layer abstains rather than producing a plausible guess.
Why “above every engine”?
Models change every few months. A layer built inside one vendor’s product inherits that vendor’s ceiling, terms, and lock-in. A layer that sits above the engines keeps the company’s knowledge, controls, and audit trail constant while the engine underneath is chosen per job and replaced as better ones arrive. Where an engine supports it, control extends through means such as MCP.
How is it different from RAG?
RAG is a retrieval technique a layer may use internally; it fetches documents into a model’s context and hopes grounding follows. A knowledge and control layer adds what retrieval cannot: encoded expert judgment, checkable source references, honest confidence, abstention, and engine independence. The category it belongs to is decision intelligence: the goal is better decisions, not better search.
The full argument, with the research on why this layer is the missing piece in most enterprise AI deployments, is in the pillar article: What is a knowledge and control layer?. Praxiron is a decision intelligence platform built as this layer; see how it works.