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AI Systems Architecture


Decision Intelligence Architecture: Why Vector Databases Are the Wrong Backbone
Vector databases excel at similarity search, but decision systems require something fundamentally different. When decisions must survive time, changing conditions, and real consequences, treating similarity as state causes commitments to drift and execution to fail. This essay explains why decisions need durability, invalidation logic, and deterministic boundaries—not just better retrieval.
Sam Sur
Jan 148 min read
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