AI & RAG
Answer oncall questions in Slack from past incident postmortems
Lets engineers ask the oncall bot a question in Slack and replies with a grounded answer retrieved from indexed postmortems, including citations to the source incidents.
How it runs
The automated pipeline, trigger to output.
- TriggerEngineer mentions the bot or runs a slash command in SlackSlack
- ActionEmbed the question and retrieve top matching postmortem chunks from PostgresPostgres
- LogicIf no chunk clears the confidence threshold, reply that no postmortem matches
- ActionGenerate a grounded, cited answer from the retrieved chunksOpenAI
- OutputPost the answer as a threaded Slack reply with source linksSlack
What it does
Gives your oncall channel a self-serve answerbot. An engineer asks something like "what do we do when the payments queue backs up?" and the bot retrieves the most relevant past postmortems, synthesizes a step-by-step answer, and posts it back with links to the incidents it drew from.
When to use it
Deploy this in your #oncall or #incidents Slack channel so on-call engineers can get runbook-grade answers in seconds instead of paging a teammate or grepping old docs at 3am.
How it works
- 1A Slack mention or slash command triggers the flow with the engineer's question.
- 2The question is embedded and used to query the Postgres vector table for the top matching postmortem chunks.
- 3A logic step checks retrieval confidence; if no chunk clears the threshold, the bot replies honestly that it has no relevant postmortem.
- 4The retrieved chunks plus the question go to the model, which produces a grounded, cited answer.
- 5The answer posts back as a threaded Slack reply with source incident links.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect OpenAIModels, embeddings, files.
- 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 this workflow in your colony.
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