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AI & RAG

Grounded API Answer Bot in Slack from Versioned OpenAPI Specs

Answers engineers' internal API questions in Slack by retrieving the matching endpoint from your indexed.

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerEngineer mentions the bot in SlackSlack
  • ActionEmbed question and search pgvector spec indexPostgreSQLPostgres
  • LogicGate on retrieval confidence score
  • ActionDraft grounded answer from retrieved spec chunksOpenAI
  • OutputReply in Slack thread with spec path and versionSlack

What it does

When someone asks an API question in a Slack channel, this bot retrieves the relevant slice of your OpenAPI specs from a vector index, drafts a grounded answer, and replies in-thread with a link to the exact spec file and version it used. If nothing relevant is found, it says so instead of guessing.

When to use it

Use it for a busy #api-support or #backend-help channel where engineers repeatedly ask "what's the auth header for v3 of the orders endpoint?" Keeps answers tied to the spec that actually shipped, not stale tribal knowledge.

How it works

  1. 1A Slack message mentioning the bot triggers the flow.
  2. 2The question is embedded and matched against a Postgres pgvector index of chunked OpenAPI operations.
  3. 3A relevance gate checks the top match score; low-confidence questions skip generation.
  4. 4OpenAI drafts an answer grounded strictly in the retrieved spec chunks, with the version tag.
  5. 5The bot posts the answer back in the Slack thread, citing the spec path and version.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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