AI & RAG
Coda-Grounded Answer Webhook API
Exposes an HTTP webhook that takes a question, retrieves the most relevant Coda blocks from the Supabase vector index, generates an answer strictly grounded in those blocks.
How it runs
The automated pipeline, trigger to output.
- TriggerHTTP webhook receives a questionHTTP webhook
- ActionEmbed the question with Hugging FaceHugging Face
- ActionSimilarity search top blocks in SupabaseSupabase
- LogicAssemble grounded prompt; reject low-confidence retrieval
- ActionGenerate grounded answer with OpenAIOpenAI
- OutputReturn answer + Coda block citations as JSONHTTP webhook
What it does
Serves a question-answering API over your indexed Coda corpus. A caller POSTs a question; the workflow embeds it, retrieves the top matching blocks from Supabase, prompts a model to answer using only that context, and returns JSON containing the answer plus citations that link to the precise Coda page and block.
When to use it
Use it to power an internal help bot, a customer-facing docs assistant, or any app that needs accurate, citeable answers from your Coda knowledge base instead of free-form hallucination.
How it works
- 1An HTTP webhook receives a JSON payload with the user's question.
- 2Hugging Face embeds the question into a query vector.
- 3Supabase runs a similarity search and returns the top-K matching blocks with their Coda coordinates.
- 4A logic step assembles a grounded prompt and rejects the request if retrieval confidence is too low.
- 5OpenAI generates an answer constrained to the retrieved context.
- 6The webhook responds with the answer and citation URLs back into Coda.
Set it up
What you configure once, before turning it on.
- 1Connect HTTP webhookTrigger any URL on agent actions.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect SupabaseTables, auth, storage, edge functions.
- 4Connect OpenAIModels, embeddings, files.
- 5Connect CodaDocs, packs, automations.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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