Final artifact
One freshness register, one refresh policy, and one stale-content triage sheet.
Assessment
Freshness governance audit: stop old documents from pretending to be current truth
This audit forces you to turn one retrieval workflow into a freshness register, refresh policy, and stale-content triage path. DepthPilot cares less about the claim that you use RAG and more about whether you can explain which knowledge is valid, how long it stays valid, who owns it, and what happens when freshness cannot be trusted.
Real acceptance criteria
Not that documents are searchable, but that the workflow can prove which evidence is current and what should happen when it is not.
Where our value shows
This page turns RAG from a component into an operating system with versioning, ownership, and expiry behavior.
DepthPilot Summary
This lesson teaches how to make retrieval trustworthy, not just searchable
A retrieval hit does not mean the evidence is still valid, and grounded does not mean current. DepthPilot focuses on freshness classes, ownership, review cadence, expiry thresholds, and what the system must do when evidence may be stale. After this lesson, the user should be able to tell whether a risky answer failed because retrieval missed or because stale evidence was treated as current truth.
Govern the source base first
- Not every document deserves equal trust. Start by classifying sources by volatility and risk.
- Each class needs an owner, a review cadence, and an expiry threshold.
- An ownerless knowledge source is already a governance failure.
Define refresh behavior next
- Version changes, retirement, reindexing, and metadata updates need a clear order.
- If the system cannot tell old and current versions apart, grounding only makes obsolete answers sound more confident.
- A trustworthy retrieval system always has a refresh policy instead of relying on team memory.
Handle stale evidence deliberately
- In high-risk paths, stale evidence should trigger downgrade, clarification, or escalation instead of confident answers.
- Stale-content triage is part of the retrieval design, not a patch afterward.
- The final artifact should prove the system knows when to stop, not only when it can search.
Freshness register
- Classify sources by freshness instead of treating every document as equal.
- Write owner, review cadence, expiry threshold, and use case for each class.
- Separate evergreen, regularly refreshed, and high-volatility knowledge.
- Make document eligibility explicit instead of assumed.
Refresh policy
- Define how version changes, document retirement, reindexing, and metadata updates happen.
- Make draft, deprecated, and approved versions obey clear precedence.
- Specify what happens when a source loses its owner or review date.
- Turn refresh behavior into a reviewable policy instead of 'someone should update docs later'.
Stale-content triage
- When freshness is uncertain, define whether the workflow should clarify, re-retrieve, surface the date, or escalate.
- Do not let high-risk workflows answer through stale uncertainty.
- Treat stale evidence as an explicit failure label for later evals and governance work.
- Make triage a reusable ladder instead of an improvisation.
Proof you must keep before launch
One freshness register with source class, expiry thresholds, and ownership.
One refresh policy that defines versioning, reindexing, and approval rules.
One stale-content triage path for evidence that may no longer be current.
One short recap explaining whether the workflow is most threatened by obsolete policy, mixed versions, or ownerless content.
Reusable governance templates
Download the freshness register
Classify knowledge sources by owner, review cadence, and expiry threshold.
Download the freshness registerDownload the refresh policy
Write the rules for version changes, reindexing, and approval.
Download the refresh policyDownload the stale-content triage sheet
Define how the workflow reacts when evidence may be stale.
Download the stale-content triage sheetReference appendix
These links anchor retrieval and freshness principles. The actual lesson is the register, refresh policy, and triage path above.
Search Cluster
Connect freshness governance to discoverable retrieval topics
High-intent users often enter through RAG, retrieval, or grounding pages before realizing that the deeper problem is source freshness and governance.
RAG Freshness Governance
RAG is not grounded just because it retrieved something. Freshness governance is the real control.
Many teams treat RAG as 'it can search documents now', then assume the system has reliable knowledge. DepthPilot asks the harder questions: who owns the documents, when do they expire, how are versions governed, and what happens when freshness cannot be trusted?
Open pathRetrieval and Grounding Guide
A retrieval and grounding guide that goes beyond dumping documents into RAG
Many users search for retrieval or grounding because they want to feed documents into a model. DepthPilot focuses on something stricter: when evidence is required, how it is filtered, and how source traceability stays visible in the final answer.
Open pathLLM Limitations
LLM limitations are not just about hallucinations. They are about knowing when the model should not answer directly.
Users searching for LLM limitations often only want a list of weaknesses. DepthPilot pushes further: you should learn how to route tasks into direct answer, clarification, retrieval, tool use, or refusal so fluent output stops stealing your judgment.
Open path