Advanced Search Engine System

Experience how modern search engines combine multiple data structures: Trie trees for prefix matching, Hash tables for exact lookups, and fuzzy algorithms for error correction.

Database Management

Database Operations

Search Algorithm

Search Results

Start typing to see intelligent search suggestions

Try: "adventure", "beautiful", or "happ"

Performance

Search Time0.000ms
Results Found0
AlgorithmO(m)

System Stats

Total Words106
Trie Depth14
Hash Load41.4%
Nodes822

How the Search Engine Works

🌳 Trie-Based Prefix Search

Every word is stored character by character in a tree structure. When you type "ja", the algorithm traverses: root → 'j' → 'a' → collect all words from that node.

  • Time Complexity: O(m) where m = query length
  • Space Complexity: O(ALPHABET_SIZE × N × M)
  • Use Case: Google Search autocomplete, IDE code completion

🔍 Hash Table + Fuzzy Search

Combines exact lookups with Levenshtein distance algorithm for typo tolerance. Handles misspellings like "googel" → "google".

  • Hash Lookup: O(1) for exact matches
  • Edit Distance: O(m × n) dynamic programming
  • Use Case: Spell checkers, search suggestions