AI & RAG

Answer single buyer-portal questions on demand via webhook with citations

Exposes a webhook that takes one security question and returns a grounded answer plus Confluence citations, so a buyer portal or browser extension can fill responses interactively.

CategoryAI & RAG
Enginesim
Difficultybeginner
Triggerwebhook
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives a single questionHTTP webhook
  • ActionRetrieve relevant policy passagesConfluenceConfluence
  • LogicGate on retrieval relevance threshold
  • ActionCompose grounded answerOpenAI
  • OutputReturn answer and citations to callerHTTP webhook

What it does

Provides a real-time, single-question answering endpoint backed by your policy knowledge base. A teammate working inside a vendor's web portal can ask one question and instantly get a cited, ready-to-paste answer instead of opening the wiki and searching by hand.

When to use it

Use it when questionnaires arrive inside a buyer's online portal that you cannot export cleanly, and your team answers questions one at a time. Pairs well with a browser extension or internal helper tool that calls the webhook.

How it works

  1. 1An HTTP webhook receives a single question payload.
  2. 2The colony retrieves the most relevant Confluence policy passages with their version IDs.
  3. 3A logic step checks whether retrieval cleared a relevance threshold; weak matches return a "no confident answer" signal instead of a guess.
  4. 4OpenAI composes a tight, grounded answer from the passages only.
  5. 5The webhook responds with the answer text plus structured citations the caller can render or log.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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