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My workflow 3

This workflow implements an intelligent document parsing and analysis system. Users can upload multiple files via a form and provide their email address. The system automatically completes file splitting, parsing, content conversion, and translation, ultimately generating a structured analysis report and sending it to the user's email. Additionally, by integrating a vector database and a Q&A feature, users can interactively ask questions about the documents through a chat interface, significantly enhancing the accessibility and utilization efficiency of document information. This system is suitable for various scenarios, including enterprises, education, and cross-language teams.

Workflow Diagram
My workflow 3 Workflow diagram

Workflow Name

My workflow 3

Key Features and Highlights

This workflow implements an intelligent document parsing and analysis system based on form file uploads. Users submit multiple files along with their email addresses via a form. The system then automatically performs file splitting, upload parsing, status querying, content conversion, and multilingual translation. Ultimately, it generates a structured analysis report and sends it to the user via email. Additionally, by integrating a vector database and multi-turn Q&A capabilities, it supports interactive querying of document content through a chat interface, enhancing the accessibility and utilization efficiency of document information.

Core Problems Addressed

  • Automates multi-file upload and splitting to avoid manual and tedious operations
  • Efficiently calls external APIs for deep document parsing, generating content in Markdown format
  • Supports automatic recognition and translation of multilingual content, eliminating language barriers
  • Structures and analyzes document content to extract key information for quick comprehension
  • Stores parsed content in a vector database to enable intelligent retrieval and Q&A
  • Sends analysis results promptly via email to improve feedback efficiency

Application Scenarios

  • Enterprises or individuals needing to batch upload complex documents and automatically generate readable reports
  • Cross-language teams requiring automatic translation and analysis of document content
  • Building knowledge bases based on document content to implement intelligent Q&A bots
  • Industries such as education, legal, and research that demand document parsing and information extraction
  • Customer service scenarios that automatically process user-uploaded files and respond with detailed analysis results

Main Workflow Steps

  1. Form Trigger: Users submit data through a form containing multiple file upload fields and an email input
  2. File Splitting: Split the uploaded multiple binary files into individual items
  3. Document Parsing: Call the LlamaIndex parsing API for each file, upload the file, and poll for parsing status
  4. Content Retrieval: Upon successful parsing, obtain the document content in Markdown format
  5. Content Aggregation: Merge multiple document contents, perform language detection, and automatically translate non-English content into English
  6. In-depth Analysis: Conduct structured analysis, information extraction, and format optimization on the aggregated content
  7. File Generation: Convert the analysis results into a text file format
  8. Knowledge Ingestion: Embed the textual content using Mistral Cloud embeddings and store it in the Pinecone vector database
  9. Email Delivery: Send the analysis report and interactive links to the user’s email via Gmail
  10. Chat Q&A: Users can interact with the bot through the chat link in the email to ask questions, enabling intelligent Q&A based on the parsed documents

Involved Systems and Services

  • n8n: Workflow automation platform
  • Form Trigger (formTrigger): Receives user file uploads and email input
  • LlamaIndex Cloud API: Document parsing and Markdown content generation
  • Google Gemini Chat Model: Used for language model interactions, translation, analysis, and intelligent Q&A
  • Mistral Cloud Embeddings: Generates vector representations of text
  • Pinecone Vector Store: Vector database for storage and retrieval
  • Gmail: Email sending service to deliver analysis results and interaction links
  • Webhook and Chat Triggers: Enable real-time interaction between users and the intelligent Q&A bot

Target Users and Value

  • Content Analysts and Data Scientists: Automate document processing and information extraction, saving significant manual effort
  • Enterprise Customer Service Teams: Quickly respond to user-uploaded files with detailed and professional feedback
  • Multinational Teams and Multilingual Users: Automatically translate document content to overcome language barriers
  • Educational and Research Institutions: Conveniently generate structured learning materials and research reports
  • Software Developers and Automation Enthusiasts: Leverage n8n to integrate multiple AI services for complex document processing automation

This workflow provides users with a comprehensive closed-loop solution from file upload and intelligent parsing to multi-turn Q&A and email notification, significantly enhancing the intelligence and interactivity of document processing.