Synchronize Google Drive Documents with Supabase Vector Database for Enhanced Retrieval
This workflow automates the synchronization of documents from Google Drive to a Supabase vector database, enriching them with contextual metadata and embeddings for improved search and retrieval capabilities.
The workflow monitors a specified Google Drive folder for new or modified files. Upon detection, it extracts text from the documents, splits them into manageable chunks, and enriches each chunk with contextual metadata. OpenAI is used to generate embeddings, which are then stored in Supabase along with the metadata. This ensures that the vector database is continuously updated and optimized for hybrid search, allowing for precise and context-aware information retrieval.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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