Key features
- Typo tolerance: automatically handles misspellings using Levenshtein distance
- Prefix search: returns results as the user types, matching partial words
- Multi-criteria ranking: combines multiple ranking rules (typo, proximity, attribute, exactness, and more) to determine result order
- Customizable relevancy: configure ranking rules, searchable attributes, stop words, synonyms, and more to fine-tune results for your use case
When to use full-text search
Full-text search works best when users search with keywords or short phrases and expect results ranked by textual relevance. If your users search with natural language questions or need results based on meaning rather than exact terms, consider hybrid search or conversational search.Next steps
Getting started
Try your first search query
Configure relevancy
Learn how ranking works and how to customize it
Hybrid search
Combine full-text with semantic search
How-to guides
Configure search behavior for your use case