RAG success is not only about the model
Document quality, chunking, permissions, and evaluation often matter more than switching the LLM.
Identify authoritative versions, duplicates, formats, and owners.
Retrieval must not bypass source-system access boundaries.
Validate recall and evidence against business language.
Support human verification and audit with traceable sources.
Acceptance method
Use a real enterprise question set, not a handful of curated demo prompts.
Build standard tests by department and use case.
Check whether the right evidence reaches the final context.
Evaluate accuracy, completeness, refusal, and citation.
Verify that identities cannot retrieve unauthorized material.
Define the workload before choosing models and compute
Share your target model, users, data boundary, and current environment. We will map capacity limits, delivery steps, and acceptance criteria.