txtai builds an AI-powered index over sections of text. txtai supports building text indices to perform similarity searches and create extractive question-answering based systems. txtai also has functionality for zero-shot classification.
This repository contains Rust bindings for the txtai API. Full txtai functionality is supported.
Add the following lines to your project Cargo.toml file:
toml
[dependencies]
txtai = { version = "2.0" }
tokio = { version = "0.2", features = ["full"] }
This adds txtai as a dependency as well as tokio given txtai uses async io.
The examples directory has a series of examples that give an overview of txtai. See the list of examples below.
| Example | Description | |:----------|:-------------| | Introducing txtai | Overview of the functionality provided by txtai | | Extractive QA with txtai | Extractive question-answering with txtai | | Labeling with zero-shot classification | Labeling with zero-shot classification |
txtai.rs connects to a txtai api instance. See this link for details on how to start a new api instance.
Once an api instance is running, do the following to run the examples.
git clone https://github.com/neuml/txtai.rs
cd txtai.rs/examples/demo
cargo run