Attribute Knowledge RAG Pattern for Governed AI Agents
Standard RAG systems in regulated industries often produce LLM-generated field names that don't exist, leading to governance failures. The Attribute Knowledge RAG (AK-RAG) pattern solves this by indexing governed attribute catalog entries as individual knowledge objects instead of document chunks, ensuring only valid attributes are used. It employs hybrid retrieval (BM25 + kNN + RRF) and a governed pipeline from natural language to DSL output.
Attribute Knowledge RAG Pattern for Governed AI Agents
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