Source: summerfang-jolli/code-to-doc-demo  Last Updated: 2/11/2026

Sample Markdown Document

This is a sample Markdown file for testing RAGFlow upload functionality with standard MD format.

Project Documentation

Overview

This document contains technical documentation that can be processed by RAGFlow for semantic search and retrieval. Markdown files are perfect for creating searchable knowledge bases.

Installation Guide

Follow these steps to set up the project:

1. Clone the repository

   git clone https://github.com/example/project.git
   cd project

2. Install dependencies

   pip install -r requirements.txt

3. Configure environment

   cp .env.example .env
   # Edit .env with your settings

API Reference

Authentication

All API requests require authentication using an API key:

GET /api/v1/data
Authorization: Bearer your-api-key
Content-Type: application/json

Endpoints

Configuration Options

The following configuration parameters are available:

• database_url: PostgreSQL connection string
• api_key: Authentication key for external services
• debug_mode: Enable/disable debug logging
• max_file_size: Maximum upload file size (default: 10MB)

Troubleshooting

Common Issues

Connection Refused Error

Error: Connection refused on port 5432

Solution: Ensure PostgreSQL is running and accessible.

Authentication Failed

Error: Invalid API key

Solution: Check your API key in the environment variables.

Performance Optimization

1. Database Indexing

   • Create indexes on frequently queried columns
   • Use partial indexes for conditional queries
   • Monitor query performance with EXPLAIN

2. Caching Strategy

   • Implement Redis for session storage
   • Cache API responses for static data
   • Use CDN for static assets

Code Examples

Python Client Example

import requests
 
class APIClient:
    def __init__(self, api_key, base_url):
        self.api_key = api_key
        self.base_url = base_url
        self.headers = {
            'Authorization': f'Bearer {api_key}',
            'Content-Type': 'application/json'
        }
 
    def get_datasets(self):
        response = requests.get(
            f'{self.base_url}/api/v1/datasets',
            headers=self.headers
        )
        return response.json()

JavaScript Integration

const client = new APIClient({
  apiKey: process.env.API_KEY,
  baseUrl: 'https://api.example.com'
});
 
async function fetchData() {
  try {
    const datasets = await client.getDatasets();
    console.log('Datasets:', datasets);
  } catch (error) {
    console.error('Error:', error);
  }
}

Best Practices

1. Security

   • Always use HTTPS in production
   • Rotate API keys regularly
   • Implement rate limiting
   • Validate all input data

2. Error Handling

   • Use structured error responses
   • Log errors with context
   • Provide meaningful error messages
   • Implement retry mechanisms

3. Documentation

   • Keep API docs up to date
   • Include code examples
   • Document all configuration options
   • Provide troubleshooting guides

FAQ

Q: How do I reset my API key? A: Contact support or use the key rotation endpoint in your dashboard.

Q: What file formats are supported? A: We support PDF, TXT, MD, MDX, DOC, DOCX, and HTML files.

Q: Is there a rate limit? A: Yes, 1000 requests per hour for free tier, 10000 for premium.

Contact Information

• Support Email: support@example.com
• Documentation: https://docs.example.com 
• GitHub Issues: https://github.com/example/project/issues 
• Community Forum: https://community.example.com 

Last updated: 2024-01-15 Version: 1.2.0