AI & RAG
Re-Index API Specs on GitLab Merge to Keep the Answer Bot Fresh
Watches GitLab merges to your API repo, detects changed OpenAPI specs and changelog files, re-chunks and re-embeds only what changed.
How it runs
The automated pipeline, trigger to output.
- TriggerGitLab merge to default branchGitLab
- ActionFetch diff and list changed spec/changelog filesGitLab
- LogicFilter to spec and changelog paths only
- ActionChunk per operation and embed changed filesOpenAI
- ActionUpsert vectors and purge stale chunksPostgres
- OutputPost re-index summary to SlackSlack
What it does
On every merge to the default branch of your API repository, this pipeline finds which OpenAPI spec or changelog files changed, re-chunks and re-embeds just those files, and upserts the new vectors into Postgres while deleting stale chunks. The knowledge base stays current without a full re-index.
When to use it
Use it as the indexing backbone behind any API answer bot. Run it whenever specs change frequently and you can't afford the bot citing an endpoint that was renamed or deprecated last sprint.
How it works
- 1A GitLab merge event on the default branch triggers the flow.
- 2The diff is fetched to list changed `.yaml`/`.json` spec and changelog paths.
- 3A filter drops files outside the spec/changelog directories.
- 4Each changed file is chunked per operation and embedded with OpenAI.
- 5Vectors are upserted into Postgres, and chunks from deleted files are purged.
- 6A summary of what was re-indexed is posted to Slack for visibility.
Set it up
What you configure once, before turning it on.
- 1Connect GitLabRepos, MRs, pipelines, registry.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 4Connect SlackChannels, DMs, threads, mentions.
- 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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