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Automated Research Report Generation with AI, Wiki, Search & Gmail/Telegram

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Created by: Immanuel || spectrabit

Immanuel

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Last update a month ago

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Automated Research Report Generation with OpenAI, Wikipedia, Google Search, Gmail/Telegram and PDF Output

Description

What Problem Does This Solve? 🛠️

This workflow automates the process of generating professional research reports for researchers, students, and professionals. It eliminates manual research and report formatting by aggregating data, generating content with AI, and delivering the report as a PDF via Gmail or Telegram. Target audience: Researchers, students, educators, and professionals needing quick, formatted research reports.

What Does It Do? 🌟

  • Aggregates research data from Wikipedia, Google Search, and SerpApi.
  • Refines user queries and generates structured content using OpenAI.
  • Converts the content into a professional HTML report, then to PDF.
  • Sends the PDF report via Gmail or Telegram.

Key Features 📋

  • Real-time data aggregation from multiple sources.
  • AI-driven content generation with OpenAI.
  • Automated HTML-to-PDF conversion for professional reports.
  • Flexible delivery via Gmail or Telegram.
  • Error handling for robust execution.

Setup Instructions

Prerequisites ⚙️

  • n8n Instance: Self-hosted or cloud n8n instance.
  • API Credentials:
    • OpenAI API: API key with GPT model access, stored in n8n credentials.
    • SerpApi (Google Search): API key from SerpApi, stored in n8n credentials (do not hardcode in nodes).
    • Gmail API: Credentials from Google Cloud Console with Gmail scope.
    • Telegram API: Bot token from BotFather on Telegram.

Installation Steps 📦

  1. Import the Workflow:
    • Copy the workflow JSON from the "Template Code" section below.
    • Import it into n8n via "Import from File" or "Import from URL".
  2. Configure Credentials:
    • Add API credentials in n8n’s Credentials section for OpenAI, SerpApi, Gmail, and Telegram.
    • Assign credentials to respective nodes. For example:
      • In the SerpApi Google Search node, use n8n credentials for SerpApi: api_key={{ $credentials.SerpApiKey }}.
      • In the Send Research PDF on Gmail node, use Gmail credentials.
      • In the Send PDF to Telegram node, use Telegram bot credentials.
  3. Set Up Nodes:
    • OpenAI Nodes (Research AI Agent, OpenAI Chat Model, OpenAI Chat Middle Memory): Update the model (e.g., gpt-4o) and prompt as needed.
    • Input Validation (Input Validation node): Ensure your input query format matches the expected structure (e.g., topic: "AI ethics").
    • Delivery Options (Send Research PDF on Gmail, Send PDF to Telegram): Configure recipient email or Telegram chat ID.
  4. Test the Workflow:
    • Run the workflow by clicking the "Test Workflow" node.
    • Verify that the research report PDF is generated and sent via Gmail or Telegram.

How It Works

High-Level Steps 🔍

  • Query Refinement: Refines the input query for better research.
  • Aggregate Data: Fetches data from Wikipedia, Google Search, and SerpApi.
  • Generate Report: Uses OpenAI to create a structured report.
  • Convert to PDF: Converts the report to HTML, then PDF.
  • Deliver Report: Sends the PDF via Gmail or Telegram.

Detailed descriptions are available in the sticky notes within the workflow screenshot above.

Node Names and Actions

Research and Report Generation

  • Test Workflow: Triggers the workflow for testing.
  • Input Validation: Validates the input query.
  • Query Refiner: Refines the query for better results.
  • Research AI Agent: Coordinates research using OpenAI.
  • OpenAI Chat Model: Generates content for the report.
  • Structured Output Parser: Parses OpenAI output into structured data.
  • OpenAI Chat Middle Memory: Retains context during research.
  • Wikipedia Google Search: Fetches data from Wikipedia.
  • SerpApi Google Search: Fetches data via SerpApi.
  • Merge Split Items: Merges data from multiple sources.
  • Aggregate: Aggregates all research data.
  • Generate PDF HTML: Creates an HTML report.
  • Convert HTML to PDF: Converts HTML to PDF.
  • Download PDF: Downloads the PDF file.
  • Send PDF to Telegram: Sends the PDF via Telegram.
  • Send Research PDF on Gmail: Sends the PDF via Gmail.

Customization Tips

  • Expand Data Sources 📡: Add more sources (e.g., academic databases) by adding nodes to Merge Split Items.
  • Change Report Style ✍️: Update the Generate PDF HTML node to modify the HTML template (e.g., adjust styling or sections).
  • Alternative Delivery 📧: Add nodes to send the PDF via other platforms (e.g., Slack).
  • Adjust AI Model 🧠: Modify the OpenAI Chat Model node to use a different model (e.g., gpt-3.5-turbo).