Paul Masurel projects --> Of tantivy's indexing July 16, 2017 This post is the second post of a series describing the inner workings of a rust search engine library called tantivy . Foreword In my last blog post , I talked about the data-structures that are used in a tantivy index, but I did not explain how indexes are actually built. In other words, how do you get from a file containing documents (possibly too big to fit in RAM) to the index described in my first post (possibly too big to fit in RAM too

Descubre cómo la integración de Tantivy en la base de datos vectorial SQL revoluciona las capacidades de búsqueda de texto. Aprende sobre los beneficios de Tantivy y los detalles técnicos del proceso de integración

EDIT (2025-11-12): Thanks to learnings from the Tantivy project, as of version 10.3, Apache Lucene is now on par with Tantivy on most queries and even faster on some queries. This is likely a temporary win though, until the Tantivy project replicates performance improvements from the Lucene project, or even finds new opportunities for optimizations

Docs.rs x86_64-unknown-linux-gnu Feature flags docs.rs Rust tantivy-common 0.11.0 common traits and utility functions used by multiple tantivy subcrates Documentation Coverage 65.59% 61 out of 93 items documented1 out of 49 items with examples Size Source code size: 117.27 kB This is the summed size of all the files inside the crates.io package for this release. Documentation size: 2.72 MB This is the summed size of all files generated by rustdoc for all configured targets Ø build duration this release

Docs.rs x86_64-unknown-linux-gnu Feature flags docs.rs Rust tantivy 0.26.1 Search engine library Documentation Coverage 100% 1192 out of 1192 items documented32 out of 203 items with examples Size Source code size: 4.33 MB This is the summed size of all the files inside the crates.io package for this release. Documentation size: 47.12 MB This is the summed size of all files generated by rustdoc for all configured targets Ø build duration this release: 1m 16s Average build duration of successful builds. all

Bichon 是一款基于 Rust 语言的开源邮件归档系统，专注于邮件的长期保存与高效检索。它支持从 IMAP 服务器同步多账户邮件，利用 Tantivy 引擎实现毫秒级全文搜索，并提供内置 WebUI 和 REST API。该工具无需外部数据库，具备压缩存储、OAuth2 认证及多用户权限管理功能，实测可高效处理海量

Turso v0.5.0 release with concurrent writes in beta, experimental full-text search with Tantivy, query optimizer improvements, STRICT tables, user-defined types, and stable Change data capture

Hey folks, I have the following struct: use std::collections::HashSet; use tantivy::tokenizer::{SimpleTokenizer, TokenStream, Tokenizer}; pub struct Vocabulary { #[allow(dead_code)] tokens: HashSet<String

Tantivy を活用した MyScale の最新の全文検索機能をご紹介します。BM25 スコアリングを利用して正確な関連度ランキングを実現し、曖昧検索によるタイプミスの処理、関連度調整によるカスタマイズされた検索体験を活用しましょう。シングル SQL

Reverse dependencies of sketches-ddsketch // Lib.rs Lib.rs › sketches-ddsketch › Reverse dependencies sketches-ddsketch is used at run time in 1,296 crates (of which 385 optionally). It is a direct run-time dependency in 15 crates. It's used only as a dev dependency in 76 crates (of which 1 directly). Number of dependers sketches-ddsketch version Downloads/month 206 0.4.1 856K 716 0.3.1 4.6M 417 0.2.2 846K 33 0.1.3 59K Depender (with downloads and own rev deps) sketches-ddsketch version 1.2M 309 tantivy