My workflow 3

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.

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.

1. 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.