Build a product catalog chatbot with Mistral AI, Google Drive & Supabase RAG
Transform your static product data into a dynamic conversational experience by automatically syncing Google Drive documents with a Supabase vector store. Powered by Mistral AI, this workflow enables a smart chatbot to retrieve precise product specs and imagery via RAG for real-time customer support. It's the ultimate bridge between raw data storage and interactive AI assistance.
Run this with your team's AIWhat This Recipe Does
Managing vast amounts of information across Google Drive can lead to significant bottlenecks when teams need quick answers. This automation streamlines the process of transforming static documents into an interactive AI knowledge base. By automatically extracting text from files stored in Google Drive and processing them in manageable batches, the system prepares your proprietary data for use in custom AI chatbots. This eliminates the need for manual data entry or tedious copy-pasting from PDFs and documents. Business leaders can now ensure their AI tools are powered by the most current internal documentation, leading to higher accuracy in automated responses. The workflow handles the heavy lifting of data preparation, allowing your team to focus on high-value analysis rather than document administration. By implementing this solution, you create a scalable bridge between your unstructured files and actionable business intelligence, significantly reducing the time spent on internal information retrieval.
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, Supabase connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect Google Drive and Supabase 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
- Customer Support leads who want to feed product manuals into a chatbot for instant, accurate technical support.
- Human Resources departments looking to centralize employee handbooks and policy documents for an internal Q&A assistant.
- Operations managers needing to process large batches of vendor contracts or technical specifications to extract key data points automatically.
Frequently Asked Questions
What types of files can this automation handle?
The system is designed to work with common document formats stored in Google Drive, including PDFs and text-based files, extracting the content for AI processing.
Can I choose specific folders to monitor?
Yes, you can configure the automation to target specific Google Drive folders, ensuring only relevant business documents are processed and indexed.
How does the batching process work?
To ensure reliability and stay within processing limits, the automation splits large documents or high volumes of files into smaller groups for consistent performance.
Do I need to be a developer to update the knowledge base?
No, once the automation is configured, simply adding or updating files in your designated Google Drive folder will trigger the data extraction process.
Coming from n8n?
This recipe uses nodes like SplitInBatches, Set, GoogleDrive, ExtractFromFile and 13 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