LocalFileTrigger Automate

LocalFileTrigger Automate enables seamless monitoring of a designated folder, automatically syncing changes to files with a Qdrant vector store. It efficiently handles file additions, modifications, and deletions, ensuring your data remains up-to-date. This workflow integrates advanced AI capabilities to create a Q&A agent based on your historical bank statements, enhancing data accessibility and insights.

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

Target Audience

This workflow is designed for:
- Financial Analysts: Who need to monitor and manage bank statement files efficiently.
- Data Scientists: Looking to integrate local file systems with AI models for document analysis.
- Developers: Interested in automating file handling and synchronization with vector databases.
- Small Business Owners: Who want to maintain organized financial records and leverage AI for insights.
- AI Enthusiasts: Interested in building applications that utilize local files and AI models for data retrieval and Q&A functionalities.

Problem Solved

This workflow addresses the challenge of efficiently managing and processing bank statement files by:
- Monitoring a specified folder for changes, additions, or deletions of files.
- Synchronizing files with their corresponding vector representations in Qdrant, ensuring that the vector store remains up-to-date.
- Implementing AI capabilities to create a Q&A agent that can answer queries based on the historical bank statements, enhancing data accessibility and usability.

Workflow Steps

  • Local File Monitoring: The workflow begins by monitoring a specific directory for any file events (additions, changes, deletions).
    2. Variable Setup: When a file event occurs, relevant variables such as directory path, event type, and file names are set for further processing.
    3. File Event Handling: Depending on the type of event (added, changed, deleted), the workflow routes the process accordingly:
    - File Added: The file is read, and its contents are prepared for embedding into Qdrant.
    - File Changed: The existing vector point in Qdrant is deleted, and a new point is created with the updated file data.
    - File Deleted: The corresponding vector point in Qdrant is also deleted to maintain data integrity.
    4. Embedding and Storage: The workflow uses Mistral AI to generate embeddings from the file contents and stores them in Qdrant for efficient retrieval.
    5. Q&A Integration: A chat trigger allows users to ask questions regarding the bank statements, utilizing the stored embeddings for accurate responses.

    • Customization Guide

    To customize this workflow:
    - Change the Directory Path: Modify the directory variable in the Set Variables node to point to your desired folder for file monitoring.
    - Alter Event Types: Adjust the events parameter in the Local File Trigger node to include or exclude specific file events (e.g., only monitor for additions).
    - Modify AI Model Settings: Update the parameters in the Mistral Cloud Chat Model node to use different models or configurations based on your requirements.
    - Enhance Q&A Functionality: Customize the Question and Answer Chain node to tailor responses or integrate additional data sources for richer answers.
    - Add More Nodes: Incorporate additional processing nodes for further file handling, data transformation, or integration with other APIs.