AI & RAG
On-call remediation assistant with postmortem citations
Answers 'how do I remediate X' questions posted in Slack by searching past incident postmortems and returning step-by-step fixes with linked source citations.
How it runs
The automated pipeline, trigger to output.
- TriggerEngineer @-mentions the bot in Slack with a remediation questionSlack
- ActionEmbed question and run pgvector similarity search over postmortemsPostgres
- ActionFetch full text of top-matching postmortem pagesConfluence
- LogicIf no match clears the relevance threshold, flag low confidence
- ActionSynthesize cited remediation plan from retrieved sourcesOpenAI
- OutputReply in Slack thread with steps plus citation linksSlack
What it does
Gives your on-call engineer an in-Slack assistant that answers remediation questions by retrieving the most relevant past incident postmortems and synthesizing a concrete fix — every claim backed by a citation link to the source doc.
When to use it
Use it when an alert fires at 2am and the responder needs to know how a similar incident was resolved last time, without manually grepping through a quarter's worth of postmortems. Best for teams with a mature postmortem habit in Confluence.
How it works
- 1An engineer mentions the bot in Slack with a question like 'how do I remediate Redis connection pool exhaustion'.
- 2The workflow embeds the question and runs semantic search against the postmortem vector index in Postgres (pgvector).
- 3It pulls the full text of the top-matching postmortems from Confluence.
- 4An LLM synthesizes a ranked remediation plan, quoting only what the sources support.
- 5The answer is posted back in-thread with inline citation links and a confidence note when coverage is thin.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 4Connect OpenAIModels, embeddings, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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