CHATBOTS
Discord Docs-Grounded Support Thread Responder
On a new Discord support thread, it retrieves matching answers from your indexed docs in Postgres, posts a grounded reply with citations.
How it runs
The automated pipeline, trigger to output.
- TriggerNew support thread messageDiscord
- ActionRetrieve matching doc passagesPostgres
- ActionCompose a grounded, cited answerOpenAI
- ActionPost the cited reply in-threadDiscord
- LogicWait for the 'solved' reaction
- OutputArchive thread and save the Q&A pairPostgres
What it does
Answers Discord support questions using your own documentation rather than guesswork. When a thread opens, the workflow embeds the question, retrieves the most relevant passages from a Postgres vector store of your docs, and posts a grounded reply that cites its sources. When the asker confirms with the 'solved' reaction, it archives the thread and stores the question-answer pair for future retrieval.
When to use it
Use it when answer accuracy matters and you already maintain product docs you want the bot to stay faithful to. It reduces hallucinated replies by constraining the bot to retrieved, citable content from your own knowledge base.
How it works
- 1A new support thread message triggers the run.
- 2Postgres is queried with the embedded question to retrieve the top matching doc passages.
- 3An OpenAI step composes a grounded answer that cites the retrieved sources.
- 4The cited answer is posted into the Discord thread.
- 5The flow waits for the 'solved' reaction from the asker.
- 6On confirmation, Discord archives the thread and the resolved pair is saved to Postgres.
Set it up
What you configure once, before turning it on.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect OpenAIModels, embeddings, files.
- 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.
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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.

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