tantivy
Full-text search engine library for Rust, inspired by Apache Lucene. Provides inverted index construction, BM25 ranking, faceted search, phrase queries, and tokenization. Used as the core of Quickwit (cloud-native search engine). Embeds directly in Rust applications for local full-text search without external search infrastructure.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Embedded search library — security is application's responsibility. Index files stored locally; protect with filesystem permissions. No network exposure.
⚡ Reliability
Best When
Embedding full-text search directly in a Rust application without external search service infrastructure.
Avoid When
You need distributed search, a REST API, or multi-language support — use Meilisearch or Quickwit.
Use Cases
- • Build in-application full-text search for Rust desktop or server apps without Elasticsearch infrastructure
- • Create searchable document stores in Rust with BM25 ranking and faceted filtering
- • Implement log search and analysis tools in Rust with tantivy's fast indexing and querying
- • Build custom search engines on top of tantivy for domain-specific search requirements
- • Prototype full-text search features before scaling to Quickwit, Meilisearch, or Elasticsearch
Not For
- • Distributed search across multiple nodes — tantivy is single-node; use Quickwit or Elasticsearch for distributed search
- • Python/JavaScript search — use Meilisearch or Typesense for multi-language search APIs
- • Production search APIs with rich features — tantivy is a library; wrap it or use Quickwit for a full search service
Interface
Authentication
Embedded library — no auth needed. Index files are local and protected by filesystem permissions.
Pricing
MIT licensed open source library.
Agent Metadata
Known Gotchas
- ⚠ Index schema is immutable after creation — define all fields upfront; schema changes require rebuilding the index
- ⚠ Index must be committed and reopened to see newly indexed documents — IndexWriter::commit() followed by IndexReader::reload() for search to reflect updates
- ⚠ Tokenizers must match between indexing and querying — indexing with simple tokenizer and querying with stemmer produces no results
- ⚠ Concurrent writes require a single IndexWriter — tantivy allows only one writer; use Arc<Mutex<IndexWriter>> for shared write access
- ⚠ Index files are not portable between tantivy versions — serialize data separately from the index if you need portability
- ⚠ tantivy DOES NOT support live/real-time search — there is a commit/reload cycle latency of at minimum milliseconds to seconds
Alternatives
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Scores are editorial opinions as of 2026-03-07.