Add resource: Meilisearch typo tolerance vs fuzzy search in other engines

[qdequele]

Context

Meilisearch's typo tolerance is a key differentiator, but we don't have a dedicated resource explaining how it differs from fuzzy search implementations in other search engines (Elasticsearch, Algolia, Typesense, etc.).

Users frequently ask why Meilisearch handles typos differently and what the practical implications are. A dedicated resource would help users understand the trade-offs and why Meilisearch's approach is unique.

What to cover

• Meilisearch's approach: prefix-based DFA (Deterministic Finite Automaton) using Levenshtein distance, computed at indexing time, applied automatically to every query with no configuration needed
• Elasticsearch/OpenSearch: fuzzy queries using edit distance, must be explicitly enabled per query with fuzziness parameter, configurable per field
• Algolia: typo tolerance with configurable min word size thresholds, similar automatic approach but different ranking integration
• Typesense: Levenshtein-based with num_typos parameter, must be configured
• PostgreSQL: pg_trgm trigram similarity, fundamentally different approach (statistical similarity vs edit distance)

Key differences to highlight

• Automatic vs opt-in: Meilisearch applies typo tolerance by default with no query-level configuration needed. Most others require explicit fuzzy parameters.
• Ranking integration: Meilisearch's typo ranking rule is a first-class citizen in the bucket sort pipeline, not a post-filter or score modifier.
• Performance: prefix-based DFA approach means typo matching is pre-computed during indexing, not calculated at query time.
• Word length thresholds: Meilisearch allows 1 typo for words of 5+ chars and 2 typos for 9+ chars (configurable). Compare with how others handle this.
• disableOnNumbers: Meilisearch can disable typo tolerance specifically for numbers (v1.15), reducing false positives like "2024" matching "2025".

Suggested location

resources/comparisons/typo_tolerance_vs_fuzzy_search.mdx

References

• Existing pages: /capabilities/full_text_search/relevancy/typo_tolerance_settings, /capabilities/full_text_search/relevancy/typo_tolerance_calculations
• Comparison pages: /resources/comparisons/elasticsearch, /resources/comparisons/algolia, /resources/comparisons/typesense