Project Title

tantivy — A Rust-based Full-Text Search Engine Library Inspired by Apache Lucene

Overview

Tantivy is a full-text search engine library written in Rust, inspired by Apache Lucene. It is designed to be used as a building block for creating search engines, rather than being a standalone search engine server like Elasticsearch or Apache Solr. Tantivy offers a range of features, including full-text search, configurable tokenizers, and fast indexing, making it a powerful tool for developers looking to implement search functionality in their applications.

Key Features

Full-text search capabilities
Configurable tokenizer with support for multiple languages
Fast indexing and search performance
Incremental indexing and multithreading support
Support for a variety of field types, including text, numeric, and date fields

Use Cases

Building custom search engines for applications
Implementing search functionality in command-line tools
Creating search engines for internal company use
Developing search features for web applications

Advantages

Rust-based, offering performance and safety benefits
Inspired by Apache Lucene, leveraging proven search engine design
Configurable and extensible, allowing for customization to specific use cases
Fast startup time, making it suitable for command-line tools

Limitations / Considerations

Distributed search functionality is not included and requires the use of a separate project, Quickwit
May require more setup and configuration compared to out-of-the-box search engine solutions

Apache Lucene: The inspiration for Tantivy, a mature full-text search library written in Java.
Elasticsearch: A distributed, RESTful search and analytics engine, built on top of Lucene.
MeiliSearch: A RESTful search API, also inspired by Lucene, that provides a simple and easy-to-use search solution.