My workflow 3

7/8/2025
36 nodes
Complex
manualcomplexformtriggersplitinbatchesaggregatelangchainmarkdowngmailconverttofilesticky noteadvancedlogicconditionalapiintegrationfilesstorage
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
FormTriggerSplitInBatchesAggregateLangChainMarkdownGmailConvertToFileSticky Note

Target Audience

This workflow is designed for professionals and organizations that need to automate document analysis and enhance user interaction through chatbots. It is particularly useful for:

- Legal Firms: Automating the analysis of legal documents and providing clients with instant feedback.
- Educational Institutions: Assisting students in analyzing research papers and providing tailored responses to their queries.
- Content Creators: Helping writers and editors analyze and refine their documents efficiently.
- Customer Support Teams: Enhancing user experience by providing quick and accurate responses based on document content.

Problem Solved

This workflow addresses the challenge of efficiently processing and analyzing multiple document submissions. It automates the extraction of key insights and provides users with a structured response based on their queries, significantly reducing the time and effort required for manual analysis. The integration with chatbots allows for real-time interaction, making it easier for users to obtain the information they need without delays.

Workflow Steps

  • Trigger on Form Submission: The workflow begins with a manual trigger when a user submits a form containing files and their email address.
    2. Split Binary Items: The workflow splits the submitted binary files into individual items for processing.
    3. Loop Over Items: Each file is processed in batches, allowing for efficient handling of multiple submissions.
    4. Document Parsing: Each file is sent to an external API for parsing, which extracts relevant information from the documents.
    5. Check Parsing Status: The workflow checks the status of the parsing job, ensuring that the documents are processed successfully.
    6. Aggregate Results: Once parsing is complete, the results are aggregated into a structured format.
    7. Markdown Conversion: The aggregated results are converted into markdown for better readability.
    8. Email Notification: The user receives an email with the analysis results and a link to interact with the chatbot for further inquiries.
    9. Chatbot Interaction: Users can engage with a chatbot to ask questions related to the document analysis, enhancing user experience.
  • Customization Guide

    Users can customize this workflow by:

    - Modifying Form Fields: Adjust the fields in the form trigger to collect specific data relevant to their needs.
    - Changing API Endpoints: Update the API URLs used for document parsing to connect with different services as required.
    - Customizing Email Content: Edit the email message to personalize communication with users, including additional resources or links.
    - Adjusting Conditions: Modify the conditions in the workflow (e.g., in the 'If' node) to tailor the logic based on specific requirements or scenarios.
    - Adding More Nodes: Users can expand the workflow by adding additional nodes to handle more complex processing or integrate with other services.