62 releases (stable)
new 1.44.0 | Sep 27, 2024 |
---|---|
1.40.0 | Aug 29, 2024 |
1.36.0 | Jul 22, 2024 |
1.18.0 | Mar 26, 2024 |
0.3.0 | Mar 30, 2023 |
#1859 in Network programming
515 downloads per month
765KB
12K
SLoC
aws-sdk-kendraranking
Amazon Kendra Intelligent Ranking uses Amazon Kendra semantic search capabilities to intelligently re-rank a search service's results.
Getting Started
Examples are available for many services and operations, check out the examples folder in GitHub.
The SDK provides one crate per AWS service. You must add Tokio
as a dependency within your Rust project to execute asynchronous code. To add aws-sdk-kendraranking
to
your project, add the following to your Cargo.toml file:
[dependencies]
aws-config = { version = "1.1.7", features = ["behavior-version-latest"] }
aws-sdk-kendraranking = "1.44.0"
tokio = { version = "1", features = ["full"] }
Then in code, a client can be created with the following:
use aws_sdk_kendraranking as kendraranking;
#[::tokio::main]
async fn main() -> Result<(), kendraranking::Error> {
let config = aws_config::load_from_env().await;
let client = aws_sdk_kendraranking::Client::new(&config);
// ... make some calls with the client
Ok(())
}
See the client documentation for information on what calls can be made, and the inputs and outputs for each of those calls.
Using the SDK
Until the SDK is released, we will be adding information about using the SDK to the Developer Guide. Feel free to suggest additional sections for the guide by opening an issue and describing what you are trying to do.
Getting Help
- GitHub discussions - For ideas, RFCs & general questions
- GitHub issues - For bug reports & feature requests
- Generated Docs (latest version)
- Usage examples
License
This project is licensed under the Apache-2.0 License.
Dependencies
~8–20MB
~283K SLoC