Where Does RAG Actually Cost You Money? (Episode 5)
Our take: RAG production cost patterns; useful analysis, not novel technique.
Why Impact & Innovation? We ask two questions of every story: did this actually change something in the real world (Impact), and is the idea genuinely new (Innovation)? Together, that's the TS Score — not engagement, not who posted it, just what matters and what's new.
Vector databases become expensive in production due to rising latency, unexpected memory usage growth, and indexing bottlenecks that don't appear until real document volume and query traffic arrive.
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