⚡ FR-SEARCH

FR-SEARCH is a high-performance, ultra-optimized search engine and document tagging system built in Rust. By leveraging cutting-edge underlying libraries and Meta's FastText model, it delivers lightning-fast search suggestions and highly accurate automated document tagging with minimal resource overhead.

📖 Read the Documentation

🚀 Features

• Minimalist Syntax: Designed for rapid development with drastically reduced boilerplate and zero performance compromises.
• Blazing Fast Performance: Highly optimized core utilizing industry-standard frameworks like tantivy, fst, and FastText for peak efficiency.
• Intelligent Auto-Tagging: Seamlessly categorize and tag documents using a compact, high-performance ML model—ideal for boosting search accuracy and improving feed management systems.
• Instant Search Suggestions: Built-in support for low-latency typeahead and search recommendations out of the box.

⚠️ Architectural Considerations

• Opinionated Design: To maximize developer velocity and provide an effortless learning curve, certain low-level configurations are abstracted by default. While this guarantees ease of use, advanced power users requiring granular control over the underlying engines may find it slightly restrictive.