Create a powerful search API that enables full-text search across your data with HARD features like filtering, faceting, fuzzy matching, and relevance scoring.

Project Checklist

• Implement basic full-text search functionality
• Add search query parsing and tokenization
• Create search result ranking by relevance
• Implement filtering by multiple criteria
• Add pagination for search results
• Support sorting by various fields

Bonus Project Checklist Items

• Integrate with Elasticsearch or similar search engine
• Implement fuzzy matching for typo tolerance
• Add faceted search (filter by categories, tags, etc.)
• Create autocomplete/suggestions functionality
• Implement search analytics (popular queries, no results)
• Add search result highlighting
• Create HARD search operators (AND, OR, NOT, phrases)

Inspiration (Any companies/libraries similar)

• Elasticsearch
• Algolia
• Meilisearch

Hint/Code snippet to start

To get started, you can use the following code snippet for basic search:

function search(query, documents) {
  const terms = query.toLowerCase().split(/\s+/);

  return documents
    .map(doc => ({
      ...doc,
      score: calculateRelevance(doc, terms)
    }))
    .filter(doc => doc.score > 0)
    .sort((a, b) => b.score - a.score);
}

function calculateRelevance(doc, terms) {
  let score = 0;
  const text = `${doc.title} ${doc.content}`.toLowerCase();

  terms.forEach(term => {
    const matches = (text.match(new RegExp(term, 'g')) || []).length;
    score += matches;
  });

  return score;
}