txtai: Build AI-powered semantic search applications in Java
txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.
This repository contains Java bindings for the txtai API. Full txtai functionality is supported.
Installation
Jitpack is the recommended way to integrate txtai with Java. See this link for how to install JitPack.
The following is an example adding txtai to a project's build.gradle file. The same attributes can be ported to other build systems per the JitPack link above.
implementation 'com.github.neuml:txtai.java:v4.6.0'txtai can also be manually built from GitHub.
git clone https://github.com/neuml/txtai.java
cd txtai.java
./gradlew jarThe JAR will be available in ./build/libs
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.java 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.java
cd txtai.java/examples
../gradlew embeddings|extractor|labels|pipelines