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 = "5.2" }
tokio = { version = "0.2", features = ["full"] }This adds txtai as a dependency as well as tokio given txtai uses async io.
Examples
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