Data Readiness Checklist for an Enterprise Knowledge Base
A vector database cannot fix conflicting policies. Prepare sources, versions, permissions, citations, evaluation and update ownership first.
Start by Clarifying the Operating Impact
RAG can retrieve answers from company documents, but it cannot resolve conflicting SOPs, stale versions and unclear ownership. Content governance usually sets the quality ceiling.
Core decision: If documents conflict, lack owners or cannot be permissioned, govern the knowledge first. Building RAG immediately will only produce faster confusion.
Design Principles
- Track source, version, effective date and owner
- Preserve source access controls
- Cite the exact passage behind every answer
- Define update, retirement and correction workflows
Practical Implementation Steps
- Set knowledge scope and exclusions
- Remove duplicates and stale versions
- Add metadata and permission labels
- Build an evaluation set from real questions
- Define no-answer and escalation behavior
Keep baselines, decision rationale and results at every step so the next expansion is based on evidence rather than memory.
Decision Note
If documents conflict, lack owners or cannot be permissioned, govern the knowledge first. Building RAG immediately will only produce faster confusion.
Research and Policy Sources
This guide reorganizes the following official frameworks, policies and research into a practical adoption method.
FAQ
Must enterprise documents be sent to a public cloud?
If documents conflict, lack owners or cannot be permissioned, govern the knowledge first. Building RAG immediately will only produce faster confusion. Start with a narrow and measurable validation, then scale through evidence.
How should knowledge-base answer quality be measured?
It depends on the use case, data readiness and risk. Apply the principles and steps above, and make remaining uncertainty part of PoC acceptance.
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