AI & RAG
Coda freshness grader on self-hosted embeddings
On demand, embeds Coda pages with a Hugging Face model and scores staleness against source docs, storing vectors in Postgres for a cost-controlled, no-data-egress audit.
How it runs
The automated pipeline, trigger to output.
- TriggerManual run on target Coda doc
- ActionPull all pages from CodaCoda
- ActionEmbed pages with Hugging Face modelHugging Face
- ActionUpsert vectors to Postgres vector storePostgres
- LogicScore staleness from distance + edit age
- OutputWrite freshness grades back to Coda pagesCoda
What it does
Runs the same freshness-grading logic but keeps embeddings in-house: it generates vectors with a Hugging Face model and persists them to a Postgres vector store you control, so no page content leaves for a third-party embedding API. It then scores each Coda page's staleness against the stored source-of-truth vectors and writes grades back.
When to use it
Use it when data residency or embedding cost rules out a hosted embedding API, or when you want a reproducible vector index you own. Good fit for teams with compliance constraints who still want automated wiki grading.
How it works
- 1A manual run kicks off the audit (point it at a Coda doc).
- 2All pages are pulled from Coda.
- 3Each page is embedded with a Hugging Face model.
- 4Vectors are upserted into the Postgres vector store alongside cached source-of-truth vectors.
- 5A grading step computes staleness from vector distance plus edit age.
- 6Freshness scores and reasons are written back onto each Coda page.
Set it up
What you configure once, before turning it on.
- 1Connect CodaDocs, packs, automations.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI & RAG workflows
Publish a Grounded API FAQ Page to Confluence Weekly
Each week, clusters the top unanswered or repeated API questions, generates spec-grounded answers with citations.
Detect Breaking API Changes from Spec Diffs and Alert Owners
Compares the new OpenAPI spec against the previous version on each GitLab merge, uses retrieval over the changelog to classify whether changes are breaking.
Pre-meeting prep brief grounded in Coda and CRM
Before each booked sales meeting, builds a one-page prep brief by combining the account's HubSpot context with grounded talking points and objection responses pulled from your…
Coda-grounded sales answer bot with citations in Slack
Reps ask product, pricing, or competitive questions in Slack and get an answer drawn only from your Coda knowledge hub, with links to the exact docs and rows it pulled from.
Weekly knowledge-gap digest from unanswered rep questions
Each week, scans rep questions the answer bot couldn't ground in Coda, clusters the recurring gaps.
RFP and security questionnaire drafter grounded in Coda
Drafts answers to inbound RFP and security questionnaire questions by retrieving approved language from your Coda hub, then files the cited draft for review before a rep sends it.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.