txtai: Build AI-powered semantic search applications in Rust

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

This repository contains Rust bindings for the txtai API. Full txtai functionality is supported.

Installation

Add the following lines to your project Cargo.toml file:

[dependencies]
txtai = { version = "4.4" }
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
Pipelines and workflows	Pipelines and workflows

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