Choosing the Right Knowledge Base Architecture for Your AI Agent
TL;DR
Most businesses selecting a knowledge base for their AI agent pick the wrong architecture — not because the tools are bad, but because no one has established a decision framework that maps operational requirements to architectural patterns. This article provides that framework. You get a practical comparison of the six emerging architectures, the math behind each choice, and the failure conditions that derail most implementations.
Originally published at Obscuriea
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