reasonkit-core-0.1.6
- reasonkit-core 0.1.6
- Docs.rs crate page
- Apache-2.0
- Links
- Homepage
- Repository
- crates.io
- Source
- Owners
- Lenvanderhof
- Dependencies
- anyhow ^1.0 normal
  async-trait ^0.1 normal
  axum ^0.7 normal
  base64 ^0.22 normal
  chrono ^0.4 normal
  clap ^4 normal
  clap_complete ^4.5 normal
  config ^0.15 normal
  console ^0.16 normal
  directories ^6 normal
  dirs ^6 normal
  dotenvy ^0.15 normal
  futures ^0.3 normal
  futures-util ^0.3 normal
  hyper ^1 normal
  indicatif ^0.18 normal
  lopdf ^0.34 normal
  md5 ^0.8 normal optional
  ndarray ^0.17 normal optional
  notify ^6 normal
  num_cpus ^1.16 normal
  once_cell ^1.19 normal
  ort ^2.0.0-rc.10 normal optional
  parking_lot ^0.12 normal
  petgraph ^0.8 normal optional
  pulldown-cmark ^0.13 normal
  pyo3 ^0.22 normal optional
  qdrant-client ^1.10 normal optional
  rayon =1.10.0 normal
  reasonkit-mem ^0.1 normal optional
  regex ^1.10 normal
  reqwest ^0.11 normal
  rusqlite ^0.30 normal
  rust-bert ^0.23 normal optional
  scraper ^0.25 normal
  secrecy ^0.10 normal
  serde ^1.0 normal
  serde_json ^1.0 normal
  serde_yaml ^0.9 normal
  sha2 ^0.10 normal
  sled ^0.34 normal optional
  sysinfo ^0.29 normal optional
  tantivy ^0.25 normal optional
  thiserror ^2.0 normal
  tokenizers ^0.22 normal optional
  tokio ^1 normal
  toml ^0.9 normal
  tower ^0.5 normal
  tower-http ^0.6 normal
  tracing ^0.1 normal
  tracing-appender ^0.2 normal optional
  tracing-subscriber ^0.3 normal
  url =2.4.1 normal
  uuid ^1 normal
  walkdir ^2.4 normal
  wasmtime ^19.0 normal optional
  web-sys ^0.3.83 normal
  criterion ^0.8 dev
  futures ^0.3 dev
  pretty_assertions ^1.4 dev
  proptest ^1.4 dev
  tempfile ^3.10 dev
  tokio-test ^0.4 dev
- Versions
- 100% of the crate is documented
Platform
- x86_64-unknown-linux-gnu
Feature flags

docs.rs

Rust

extract_sentences

reasonkit0.1.6

In reasonkit::processing

reasonkit::processing

Function extract_sentences

pub fn extract_sentences(text: &str) -> Vec<&str>

Expand description

Extract sentences from text