AI & RAG
Freeze and Index Confluence Compliance Space into Cited Evidence Corpus
On a schedule, snapshots a Confluence compliance space into an immutable versioned corpus, splits pages into clause-level chunks with stable source anchors.
How it runs
The automated pipeline, trigger to output.
- TriggerScheduled corpus refresh
- ActionFetch pages from Confluence compliance spaceConfluence
- ActionSplit pages into clause-level chunks with stable source anchors
- ActionEmbed each chunkOpenAI
- ActionUpsert chunks and embeddings under a frozen corpus version in pgvectorPostgres
- OutputRecord snapshot summary (version, page and chunk counts)
What it does
Builds the frozen, versioned evidence corpus the answer-bots depend on. It pulls a Confluence compliance space, captures an immutable snapshot tagged with a corpus version, and breaks each page into clause-level chunks that retain a stable anchor (page ID, heading path, clause index) so downstream answers can cite an exact location. Embeddings and metadata land in pgvector.
When to use it
When you need a controlled, point-in-time evidence set per audit period rather than a live-changing knowledge base, so two reviewers asking the same question on different days get the same cited source.
How it works
- 1A scheduled run kicks off the indexing job (for example, nightly during an audit window).
- 2Pages are fetched from the target Confluence compliance space.
- 3Each page is split into clause-level chunks tagged with page ID, heading path, and clause index.
- 4OpenAI generates an embedding per chunk.
- 5Chunks, embeddings, and a frozen corpus version are upserted into pgvector.
- 6A snapshot summary (page count, chunk count, version) is recorded.
Set it up
What you configure once, before turning it on.
- 1Connect ConfluenceSpaces, pages, blueprints.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 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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