LocalFileTrigger Automate

Used in LocalFileTrigger Automate, this workflow automates file management by monitoring a designated folder for changes. It efficiently synchronizes files with a Qdrant vector store, ensuring that any additions, deletions, or modifications to files are reflected in real-time. This creates a dynamic system for managing bank statements, enabling users to generate a Q&A AI agent that provides insights based on historical data.

7/8/2025
29 nodes
Complex
manualcomplexlocalfiletriggersticky notereadwritefilelangchainadvancedfilesstorageapiintegrationlogicconditionalrouting
Categories:
Complex WorkflowManual Triggered
Integrations:
LocalFileTriggerSticky NoteReadWriteFileLangChain

Target Audience

  • Data Analysts looking to automate file monitoring and data synchronization processes.
    - Developers seeking to integrate local file changes with cloud-based services.
    - Business Owners who want to keep track of their financial documents efficiently.
    - AI Enthusiasts interested in leveraging AI for document management and Q&A systems.

    • Problem Solved

    This workflow automates the monitoring of a specific folder for changes, such as the addition, modification, or deletion of files. It ensures that any changes in local files are reflected in a cloud-based vector store (Qdrant), enabling efficient data retrieval and management. This addresses the challenges of keeping local and cloud data synchronized, particularly for important documents like bank statements.

    Workflow Steps

  • Step 1: Trigger Event - The workflow starts by monitoring a designated folder for file events (add, change, unlink).
    - Step 2: Set Variables - The workflow sets important variables, including the directory path and the type of file event that occurred.
    - Step 3: Handle File Events - Based on the type of event, the workflow routes to the appropriate actions:
    - File Added: Read the new file and prepare it for embedding.
    - File Changed: Read the updated file and prepare to update the vector store.
    - File Deleted: Remove the corresponding vector point from the cloud.
    - Step 4: Qdrant Operations - Depending on the event, the workflow interacts with Qdrant to either insert, update, or delete vector points, ensuring data consistency.
    - Step 5: AI Integration - The workflow utilizes Mistral AI to create a Q&A agent that can answer questions based on the documents stored, enhancing user engagement and data accessibility.

    • Customization Guide

  • Change the Target Folder: Update the directory variable in the Set Variables node to monitor a different folder.
    - Adjust File Types: Modify the file selection logic in the Read File node if you want to filter specific file formats.
    - Customize AI Responses: Alter the parameters in the Mistral Cloud Chat Model node to change the AI's behavior or the model used.
    - Update Qdrant Collection: Change the qdrant_collection variable in the Set Variables node to use a different collection in Qdrant.
    - Modify Notifications: Add additional nodes for notifications or logging if you want to keep track of the workflow's actions.