ConceptDiscovery layer

Retrieval Abstraction Layer

A retrieval abstraction layer is a thin evaluation harness your agency owns that sits between client applications and whichever RAG vendor supplies indexing and retrieval.

By InnovaAI ResearchPublished Updated

What is Retrieval Abstraction Layer?

“Retrieval abstraction layer → vendor swap optionality”

Client app → agency eval layer → swappable retrieval vendor

A retrieval abstraction layer is a thin evaluation harness your agency owns that sits between client applications and whichever RAG vendor supplies indexing and retrieval. The vendor handles parsing, chunking, and semantic search; your layer owns the golden question set, the accuracy scoring, and the swap decision. This matters because retrieval quality and pricing move independently across providers, and a client retainer signed against one vendor's benchmark can quietly degrade when that vendor changes its ranking model. Concretely, Perplexity's Photon retrieval engine cut p99 latency from 800ms to 65ms, a 12x improvement that makes latency a live evaluation criterion rather than a fixed assumption. Agencies that score retrieval on their own test set can move a client from Ragie to another context engine in days, and can price the migration as a billable accuracy audit instead of absorbing it as rework. The layer is the asset; the vendor is the commodity.

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