Quick overview
Quick overview This workflow runs every two minutes to sync a Google Sheets file queue with an OpenAI Vector Store by deleting outdated entries, downloading new files from Google Drive, AWS S3, or a URL, uploading them to OpenAI, and updating each row’s processing status. How it works Runs every two minutes and reads all rows from a Google Sheets queue. For rows marked as outdated, deletes the referenced file from the OpenAI Vector Store and updates the row status to deleted in Google Sheets. Filters for rows that have a file_url and no status, then processes them one by one. Downloads each file based on its URL pattern using Google Drive, AWS S3, or an HTTP download. Uploads the downloaded file to OpenAI Files (purpose: assistants) and adds the returned file ID to the target OpenAI Vector Store. Waits and polls the OpenAI Vector Store file status until it is completed, then marks the row as active in Google Sheets. If the file status returns anything other than completed or in_progress, marks the row as error in Google Sheets and continues with the next item. Setup Add credentials for Google Sheets OAuth2, OpenAI API, Google Drive OAuth2, and AWS (IAM) for S3 access. Replace YOUR_GOOGLE_SHEET_ID in all Google Sheets steps and ensure the sheet includes file_url, status, openai_file_id, last_updated, and a row_number column used for updates. Replace YOUR_VECTOR_STORE_ID in the OpenAI Vector Store delete, add, and poll HTTP requests. Replace YOUR_S3_BUCKET_NAME in the AWS S3 download step. Replace YOUR_ARTICLES_DOMAIN in the URL routing rules used to decide when to download via HTTP. Additional info Contact LinkedIn: linkedin.com/in/salman-mehboob-pro Email: salmanmehboob1947@gmail.com. An n8n automation workflow template by Salman Mehboob.
Salman Mehboob
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