AI & RAG

Slack docs assistant that answers from ReadMe with section citations

Listens for questions in a Slack support channel, retrieves grounding from the ReadMe corpus, and replies in-thread with a cited answer or escalates when the docs do not cover it.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew question posted in Slack channelSlack
  • ActionRetrieve candidate sections from ReadMe indexReadMeReadMe
  • LogicDecide answer vs escalate on confidence
  • ActionGenerate grounded reply with section citationsOpenAI
  • OutputPost cited reply in the Slack threadSlack

What it does

Turns a Slack channel into a self-serve docs assistant for your developers and support staff. It catches questions, grounds an answer in your ReadMe corpus, and replies in-thread with linked source sections — or escalates politely when coverage is missing.

When to use it

When your internal #api-help or customer Slack channel repeatedly fields questions already answered in the docs. This deflects the repetitive ones while routing genuine gaps to a human.

How it works

  1. 1A new message in the watched Slack channel triggers the flow.
  2. 2The message is matched against the ReadMe vector index to retrieve candidate sections.
  3. 3A logic step checks retrieval confidence to decide answer vs escalate.
  4. 4If confident, the model writes a concise grounded reply citing the section anchors.
  5. 5If not, it composes a short "not yet documented" note and tags the docs owner.
  6. 6The reply is posted back in the original Slack thread with citation links.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect ReadMeAPI docs, changelog, auth.
  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.

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