vectorless 0.1.0

A lightweight document indexing engine without vectorization
Documentation
  • Coverage
  • 100%
    2 out of 2 items documented2 out of 2 items with examples
  • Size
  • Source code size: 19.46 kB This is the summed size of all the files inside the crates.io package for this release.
  • Documentation size: 1.03 MB This is the summed size of all files generated by rustdoc for all configured targets
  • Ø build duration
  • this release: 24s Average build duration of successful builds.
  • all releases: 24s Average build duration of successful builds in releases after 2024-10-23.
  • Links
  • zTgx/vectorless
    2 0 0
  • crates.io
  • Dependencies
  • Versions
  • Owners
  • zTgx

vectorless

![ crates.io ]](https://crates.io/crates/vectorless) ![ documentation ]](https://docs.rs/vectorless) ![ license ]](#license)

A lightweight document indexing engine without vectorization.

Overview

vectorless provides efficient document indexing and search capabilities without relying on vector embeddings or external machine learning models. It uses traditional indexing techniques such as inverted indices, tokenization, and BM25 ranking for fast and accurate full-text search.

Features

  • Zero-dependency core - No vector database or ML runtime required
  • Fast indexing - Optimized for quick document ingestion
  • BM25 ranking - Industry-standard relevance scoring algorithm
  • Memory efficient - Designed for low-memory environments
  • Flexible tokenization - Pluggable tokenizers for different languages