Crates.io | txtai |
lib.rs | txtai |
version | 8.0.0 |
source | src |
created_at | 2020-12-16 22:25:07.195427 |
updated_at | 2024-11-19 03:37:34.746809 |
description | Rust client for txtai |
homepage | https://github.com/neuml/txtai.rs |
repository | https://github.com/neuml/txtai.rs |
max_upload_size | |
id | 323739 |
size | 42,551 |
Rust client for txtai
txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.
This repository contains Rust bindings for the txtai API.
Add the following lines to your project Cargo.toml
file:
[dependencies]
txtai = { version = "8.0" }
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 |
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