As a developer, I want to measure RAG accuracy and decide whether to adopt it

[kiyotis]

Situation

The current search is agentic (LLM-driven). A RAG (vector search) approach may offer lower cost and/or acceptable accuracy. No empirical measurement has been done yet.

The input document provides a complete RAG-native design (stack, chunk design, metadata, indexing/query flows, verification plan) ready for implementation.

Pain

The team cannot decide whether to adopt RAG because there is no benchmark comparison between the current agentic search and a RAG implementation under the same E2E conditions.

Benefit

• Developers can make an evidence-based architecture decision (adopt or reject RAG)
• If adopted, users benefit from lower cost and/or faster responses

Input Documents

• RAG-Native Nabledge Design Document

Success Criteria

• Implementation is based on the input document (changes allowed during design/implementation)
• v6 benchmark results are obtained with the RAG implementation
• An evaluation report for the RAG version is produced and contains a clear adopt/reject conclusion

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