Integrates modern AI capabilities, including large language models and image generation, into applications. Offers core libraries for essential AI services and complementary library integrations, inspired by LangChain and Hugging Face projects.
Bring modern AI everywhere!
xef is the one-stop library to bring the power of modern AI to your application or service, in the form of LLM (Large Language Models), image generation, and many others. Our goal is to make the move to this new world as simple as possible for the developer. xef.ai is packaged in two layers:
xef.ai draws inspiration from libraries like LangChain and community projects like Hugging Face.
While this library is licensed under the Apache License, it's crucial to inform our users about specific data transmission behaviors associated with using this software.
This library may transmit source code and potentially user input data to third-party services as part of its functionality. We understand the paramount importance of data security and privacy, so we want to be upfront about these mechanisms.
Developers integrating this library into their applications should be aware of this behavior and take necessary precautions to ensure that sensitive data is not inadvertently transmitted.
We strongly recommend reviewing the third-party services' privacy policies before using this library, as their data handling practices may not align with your expectations or requirements.
You acknowledge and agree to these data transmission behaviors by using this library. Please consider this when planning your data management and privacy strategies.
Libraries are published in Maven Central, under the com.xebia group.
xef-core is the core library.xef-lucene.You may need to add that repository explicitly in your build, if you haven't done it before.
repositories { mavenCentral() }
Then add the libraries in the usual way.
// In Gradle Kotlin
dependencies {
implementation("com.xebia:xef-core:<version>")
}
We publish all libraries at once under the same version, so version catalogs could be useful.
In this small introduction we look at the main features of xef.
You can also have a look at the examples to have a feeling of how using the library looks like.
To build the project locally, you can use the following commands:
./gradlew downloadOpenAIAPI
./gradlew openaiClientGenerate
./gradlew build
The server and postgres tests may fail if you don't have Docker installed. The server and postgres related tests depend on Testcontainers, which in turn depends on Docker.
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