AI & RAG
Dropbox-to-Confluence Knowledge Index Sync
Watches a team Dropbox folder for new or changed documents, extracts and summarizes them with OpenAI.
How it runs
The automated pipeline, trigger to output.
- TriggerDropbox file added or modified in watched folderDropbox
- ActionDownload file and extract textDropbox
- LogicSkip unsupported or empty files
- ActionSummarize into structured page content via OpenAIOpenAI
- OutputCreate or update the mapped Confluence pageConfluence
What it does
Keeps your Confluence knowledge index in sync with a shared Dropbox folder. When a document lands or changes in the watched folder, it pulls the file, extracts text, generates a clean structured summary and metadata with OpenAI, and creates or updates a corresponding page in the team's Confluence space. This feeds the rest of your RAG stack with fresh, searchable content.
When to use it
Use it when source-of-truth documents (contracts, specs, decks, PDFs) live in Dropbox but your answer bot retrieves from Confluence. It bridges the two so nobody has to hand-copy content.
How it works
- 1A Dropbox file-added or file-modified event triggers the flow.
- 2The flow downloads the file and extracts its text.
- 3A logic step skips unsupported or empty files.
- 4OpenAI produces a titled summary, key facts, and tags.
- 5The result is written as a Confluence page in the configured space, updating the existing page if one already maps to that file.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 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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