n8n Postgres pgvector Consent Check + OpenAI Embeddings, Slack Alerts
n8n Postgres pgvector Consent Check + OpenAI Embeddings, Slack Alerts
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n8n Postgres pgvector Consent Check + OpenAI Embeddings, Slack Alerts
Regular price
£68.99
Regular price
£68.99
Sale price
Unit price
/
per
Nightly PGVector embeddings only when consent allows—plus Slack alerts
This n8n workflow automatically reads unindexed knowledge base records from Postgres, checks each one against a Postgres consent register, and only generates OpenAI embeddings to store in pgvector when the required lawful conditions are satisfied. Decisions (included, refused, or held) are logged to a manifest and the workflow posts a summary to Slack whenever any records are refused or held.
What this workflow does
- Runs nightly on a schedule to keep your pgvector index up to date.
-
Reads unindexed documents from
kb_documents(usingindexed_atto identify what still needs embedding). -
Loads consent information from a separate
consent_registertable in Postgres. -
Per-record consent matching & eligibility checks evaluate whether each document is eligible based on:
- Required purpose
- Retention window
- Withdrawal status
- Profiling objections
- Special category flags
- Embeds only eligible text: eligible documents are chunked, embedded via OpenAI, and inserted into your pgvector index table with metadata.
- Writes an inclusion manifest entry recording the decision and lawful ground; marks eligible documents as indexed in Postgres.
- Logs refused/held decisions to the same manifest table with the specific refusal/hold ground.
- Posts a run report to Slack when any records are refused or held.
Use cases
- Keeping a consent-aware knowledge base index in sync for RAG search using pgvector.
- Preventing embedding of withdrawn or non-eligible records before they enter vector search.
- Operational compliance monitoring: Slack alerts highlight refused/held items for review.
Technical details
-
Postgres integration: reads
kb_documents+consent_register, stores vectors in a pgvector table, and writes toindex_manifest. - OpenAI embeddings: generates embeddings for eligible document chunks (model name must match your OpenAI access).
- Slack OAuth: sends notifications when refusals/holds occur.
- Workflow nodes/logic include: if, set, code, no op, merge, and slack.
