AI-Powered RAG Document Processing & Chatbot with Google Drive, Supabase, OpenAI
This advanced automation converts static documents from Google Drive into a dynamic, searchable knowledge base using Retrieval-Augmented Generation. By integrating Supabase for vector storage and OpenAI for natural language processing, it provides a seamless chatbot interface for querying internal data. It effectively bridges the gap between raw file storage and interactive AI intelligence.
Run this with your team's AIWhat This Recipe Does
Manually reviewing and summarizing documents stored in Google Drive is a time-consuming process that often leads to information bottlenecks. This automation streamlines your document management by instantly processing new files uploaded to your Google Drive folders. Using advanced extraction and summarization logic, the workflow identifies key information within documents, breaks down complex content into digestible segments, and provides concise summaries without requiring human intervention. By automating the initial review phase, your team can focus on high-level analysis and decision-making rather than manual reading. This tool is particularly valuable for organizations dealing with high volumes of reports, contracts, or research papers. It ensures that every team member has immediate access to the core insights of a document the moment it is saved. The result is a more responsive operation where information flows freely and critical data points are never missed due to a backlog of unread files.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
Google Drive, Universal Summarizer by Kagi connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Drive and Universal Summarizer by Kagi once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Legal and compliance teams use this to automatically generate executive summaries of new contracts or regulatory filings uploaded to shared folders.
- Research departments utilize this automation to process lengthy whitepapers and industry reports, providing quick insights to stakeholders.
- Project managers use this to monitor project folders and receive instant summaries of weekly status reports or meeting transcripts from team members.
Frequently Asked Questions
Which file formats are supported for extraction?
The automation is designed to handle common document formats including PDF, DOCX, and text files stored within your Google Drive.
Can I choose which Google Drive folders are monitored?
Yes, you can configure the trigger to watch specific folders, ensuring the automation only processes relevant business documents.
Does this automation handle large documents?
The workflow includes batching and splitting logic specifically designed to process large files efficiently without hitting system limits.
How are the summaries delivered?
The summaries are generated as structured data that can be sent to your Runwork app interface, saved back to Google Drive, or forwarded to your preferred communication tool.
Coming from n8n?
This recipe uses nodes like SplitInBatches, ExtractFromFile, Langchain.documentDefaultDataLoader, GoogleDriveTrigger and 18 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
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Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork