AI & RAG
Coda Doc-Edit Incremental Re-Index
Listens for Coda doc edit events, re-chunks and re-embeds only the changed pages.
How it runs
The automated pipeline, trigger to output.
- TriggerCoda doc-edit event firesCoda
- LogicIdentify changed page; dedupe rapid edits
- ActionFetch latest page content from CodaCoda
- ActionRe-embed new chunks with Hugging FaceHugging Face
- OutputReplace page's vectors in Supabase indexSupabase
What it does
Keeps the vector index in sync with live edits. When a Coda page changes, this workflow re-processes only that page: it pulls the new content, re-chunks and re-embeds it, and surgically replaces the affected vectors in Supabase. Untouched pages are left alone, so re-indexing stays fast and cheap.
When to use it
Run it alongside the index builder once your corpus is live. It's the event-driven half that prevents stale answers as writers update docs throughout the day.
How it works
- 1A Coda automation fires a doc-edit event into the workflow.
- 2A logic step extracts which doc and page changed and deduplicates rapid-fire edits.
- 3Coda fetches the latest content for just that page.
- 4The page is re-chunked into blocks with fresh anchors.
- 5Hugging Face embeds the new chunks.
- 6Supabase deletes the page's old vectors and upserts the new ones in a single transaction.
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 SupabaseTables, auth, storage, edge functions.
- 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.
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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.
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