Bring semantic search, embeddings, and parsing to the command line for local and CI workflows.
Detailed Introduction
SemTools is a developer-focused command-line toolkit for parsing documents, generating embeddings, and performing semantic search. It wraps embedding generation and vector search into simple CLI (CLI, Command Line Interface) commands, supporting static embeddings, index construction, and similarity-based retrieval to make it easy to integrate into local environments or automation pipelines.
Main Features
- Document parsing: extract text, segments, and metadata with support for common formats.
- Embedding generation: convert text chunks into vectors suitable for offline indexing.
- Semantic search: run fast similarity searches using static embeddings.
- CLI-first and high-performance: implemented in Rust for efficient batch processing and CI integration.
Use Cases
Ideal for building lightweight semantic indices and search over document collections in local or CI contexts—e.g., quick knowledge search, offline index generation, post-processing pipelines, and embedding-based test harnesses. Its CLI nature makes it easy to wire into scripts and containerized workflows.
Technical Features
Implemented in Rust, SemTools emphasizes speed and static binary distribution. The project focuses on embeddings, parsing, and semantic-search, using static-embedding approaches and efficient indexing to lower runtime costs and enable usage in resource-constrained or fast-start environments.