Load Google Drive Files into a PGVector Database

# Vector DB Loader from Google Drive ## Overview Automated workflow: Vector DB Loader from Google Drive. This workflow integrates 12 different services: stickyNote, textSplitterRecursiveCharacterTextSplitter, scheduleTrigger, googleDrive, switch. It contains 22 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 22 - Node Types: 12 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - Default Data Loader: documentDefaultDataLoader - Recursive Character Text Splitter: textSplitterRecursiveCharacterTextSplitter - Embeddings OpenAI: embeddingsOpenAi - Postgres PGVector Store: vectorStorePGVector - When clicking ‘Test workflow’: manualTrigger - Loop Over Items: splitInBatches - Move File: googleDrive - Download File: googleDrive - Search Folder: googleDrive - Schedule Trigger: scheduleTrigger - ... and 12 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible