LangChain Automate

LangChain Automate streamlines resume extraction and conversion into a polished PDF format via Telegram. Users can upload resumes, which are then parsed for personal, educational, and employment data, formatted into HTML, and converted to a downloadable PDF. This efficient workflow enhances user experience by automating document processing, saving time, and ensuring professional presentation.

7/8/2025
43 nodes
Complex
manualcomplexlangchaintelegramtriggernooptelegramextractfromfileconverttofilesticky noteadvancedcommunicationbotlogicconditionalfilesstorageapiintegration
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
LangChainTelegramTriggerNoOpTelegramExtractFromFileConvertToFileSticky Note

Target Audience

This workflow is designed for:
- Job Seekers: Individuals looking to streamline their resume submission process through Telegram.
- Recruiters: Professionals who want to automate the extraction and formatting of resumes received via Telegram.
- Developers: Those interested in integrating LangChain and Telegram APIs for automated workflows.
- HR Departments: Teams that handle recruitment and need efficient ways to process multiple resumes.
- Tech Enthusiasts: Users who want to explore automation tools and enhance their workflow efficiency.

Problem Solved

This workflow addresses the challenge of manually processing resumes received via Telegram. It automates the extraction of relevant data from PDF resumes, formats it into HTML, and generates a PDF document, significantly reducing the time and effort required for resume processing. This ensures that recruiters can quickly access and evaluate candidates' qualifications without manual data entry.

Workflow Steps

  • Trigger: The workflow is initiated by a message received on Telegram, specifically when a user sends a resume file.
    2. Authentication: It checks if the user is authorized to use the bot, ensuring that only permitted users can submit resumes.
    3. File Handling: The bot retrieves the uploaded resume file based on its ID and extracts text from the PDF.
    4. Data Parsing: The extracted text is processed using OpenAI's GPT-4 model to parse structured data such as personal information, employment history, education, projects, and volunteering experiences.
    5. HTML Conversion: Each section of the parsed data is converted into HTML format for better readability.
    6. Data Merging: The workflow merges all sections of the resume into a single output, ensuring all information is cohesively presented.
    7. Final Formatting: The merged data is formatted into an HTML file, which is then converted to a PDF using the Gotenberg service.
    8. Delivery: The generated PDF is sent back to the user via Telegram, providing immediate access to their formatted resume.

    • Customization Guide

  • Modify Credentials: Users should update the API credentials for OpenAI and Telegram to their own.
    2. Adjust JSON Schema: The JSON schema in the output parser can be customized to fit specific needs or to include additional fields relevant to the user's requirements.
    3. Change File Formats: Users can modify the file types accepted by the workflow (e.g., allowing DOCX in addition to PDF).
    4. Customize Messages: The messages sent to users can be personalized to enhance user experience, including confirmation messages or error handling notifications.
    5. Add Additional Nodes: Users can extend the workflow by adding more nodes for additional processing, such as integrating with other data storage solutions or analytics tools.