ConceptDiscovery layer

Vendor Churn Exposure Map

Vendor Churn Exposure Map is a dependency audit that scores every RAG component in a client build by what breaks if that provider disappears or reprices.

By InnovaAI ResearchPublished

What is Vendor Churn Exposure Map?

“Single-vendor dependency → delivery halt risk”

Swap difficulty vs delivery dependency, per RAG component

Vendor Churn Exposure Map is a dependency audit that scores every RAG component in a client build by what breaks if that provider disappears or reprices. The category description warns that standardizing on one retrieval vendor locks an agency into that vendor's accuracy and pricing; the map turns that warning into a per-component inventory. Score each layer (ingestion, parsing, retrieval, verification) on two axes: how hard it is to swap and how much client delivery depends on it. A managed context engine API such as Ragie may carry high swap cost at the retrieval layer, while a verification layer like CiteLLM sits lighter because it wraps outputs rather than owning the index. The map matters because platform churn is now routine: product graveyards and single-vendor concentration are documented risks agencies must plan fallbacks for, and a 2027 infrastructure reckoning will force structural upgrades on ad-hoc AI buildouts.

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