SemTools is an open-source command-line toolkit designed for document parsing, semantic indexing, and semantic search workflows. The project focuses on enabling developers and AI agents to process large document collections and extract meaningful semantic representations that can be searched efficiently. Built with Rust for performance and reliability, the toolchain provides fast processing of text and structured documents while maintaining low system overhead. SemTools can parse documents, build semantic embeddings, and perform similarity searches across datasets, making it useful for research, knowledge management, and AI-assisted coding workflows. The toolkit is designed to work well with modern AI pipelines, particularly those involving large language models that require structured knowledge retrieval.
Features
- Command-line tools for semantic search and document processing
- High-performance implementation written in Rust
- Document parsing utilities for structured and unstructured data
- Semantic embedding and similarity search capabilities
- Integration with AI workflows and language-model pipelines
- Local document indexing and retrieval for knowledge systems