Vector-Based Related Content

const response = await fetch('https://api.atomicapis.dev/api/related-content', {
  method: 'POST',
  headers: {
    'X-RapidAPI-Proxy-Secret': 'YOUR_SECRET',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    referenceItem: {
      id: 'article-001',
      title: 'Getting Started with Machine Learning',
      text: 'Machine learning is a subset of artificial intelligence...',
      category: 'technology',
      tags: ['ai', 'ml', 'tutorial']
    },
    corpus: [
      {
        id: 'article-002',
        title: 'Deep Learning Fundamentals',
        text: 'Deep learning uses neural networks with multiple layers...',
        category: 'technology',
        tags: ['ai', 'deep-learning', 'neural-networks']
      },
      {
        id: 'article-003',
        title: 'Introduction to Python',
        text: 'Python is a versatile programming language...',
        category: 'programming',
        tags: ['python', 'programming', 'beginner']
      }
    ],
    algorithm: 'tfidf',
    similarityThreshold: 0.1,
    maxResults: 20,
    categoryBoost: 0.1,
    includeScoreBreakdown: false
  })
});

const data = await response.json();
console.log(data.relatedItems);

import requests

response = requests.post(
    'https://api.atomicapis.dev/api/related-content',
    headers={
        'X-RapidAPI-Proxy-Secret': 'YOUR_SECRET',
        'Content-Type': 'application/json'
    },
    json={
        'referenceItem': {
            'id': 'article-001',
            'title': 'Getting Started with Machine Learning',
            'text': 'Machine learning is a subset of artificial intelligence...',
            'category': 'technology',
            'tags': ['ai', 'ml', 'tutorial']
        },
        'corpus': [
            {
                'id': 'article-002',
                'title': 'Deep Learning Fundamentals',
                'text': 'Deep learning uses neural networks with multiple layers...',
                'category': 'technology',
                'tags': ['ai', 'deep-learning', 'neural-networks']
            },
            {
                'id': 'article-003',
                'title': 'Introduction to Python',
                'text': 'Python is a versatile programming language...',
                'category': 'programming',
                'tags': ['python', 'programming', 'beginner']
            }
        ],
        'algorithm': 'tfidf',
        'similarityThreshold': 0.1,
        'maxResults': 20,
        'categoryBoost': 0.1,
        'includeScoreBreakdown': False
    }
)

data = response.json()
print(data['relatedItems'])

using System;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;
using System.Text.Json;
using System.Threading.Tasks;

var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = 
    new AuthenticationHeaderValue("Bearer", "YOUR_API_KEY");

var requestBody = new
{
    referenceItem = new
    {
        id = "article-001",
        title = "Getting Started with Machine Learning",
        text = "Machine learning is a subset of artificial intelligence...",
        category = "technology",
        tags = new[] { "ai", "ml", "tutorial" }
    },
    corpus = new[]
    {
        new
        {
            id = "article-002",
            title = "Deep Learning Fundamentals",
            text = "Deep learning uses neural networks with multiple layers...",
            category = "technology",
            tags = new[] { "ai", "deep-learning", "neural-networks" }
        },
        new
        {
            id = "article-003",
            title = "Introduction to Python",
            text = "Python is a versatile programming language...",
            category = "programming",
            tags = new[] { "python", "programming", "beginner" }
        }
    },
    algorithm = "tfidf",
    similarityThreshold = 0.1,
    maxResults = 20,
    categoryBoost = 0.1,
    includeScoreBreakdown = false
};

var json = JsonSerializer.Serialize(requestBody);
var content = new StringContent(json, Encoding.UTF8, "application/json");

var response = await client.PostAsync(
    "https://api.atomicapis.dev/api/related-content", content);
var result = await response.Content.ReadAsStringAsync();
Console.WriteLine(result);