AI & RAG

Citation Integrity Validator for Frozen Evidence Corpus

On a schedule, re-checks that every stored answer citation still resolves to a live clause in the current corpus version and that the cited text hasn't drifted.

CategoryAI & RAG
Enginesim
Difficultyadvanced
Triggerschedule
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled citation integrity check
  • ActionRead stored answer citations from PostgresPostgreSQLPostgres
  • ActionRe-resolve each clause anchor against current corpus versionPostgreSQLPostgres
  • LogicSeparate intact citations from broken or drifted ones
  • OutputPost broken-citation summary to compliance Slack channelSlack

What it does

Guards the trustworthiness of issued citations. It walks the log of previously answered questions, re-resolves each citation against the current frozen corpus version, and verifies the cited clause still exists and its text matches what was quoted. Broken or drifted citations are reported so stale answers can be reissued before an auditor catches the mismatch.

When to use it

After a corpus re-index or version bump, when policies were edited and you must confirm that answers and attestations referencing the old evidence are still accurate.

How it works

  1. 1A scheduled validation run starts.
  2. 2Stored answer citations are read from Postgres.
  3. 3Each citation's clause anchor is looked up in the current corpus version in pgvector and compared to the originally quoted text.
  4. 4A branch separates intact citations from broken or drifted ones.
  5. 5Intact citations are marked validated; drifted or missing ones are recorded with the delta.
  6. 6A summary of broken citations is posted to the compliance Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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