> For the complete documentation index, see [llms.txt](https://serving.konduit.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://serving.konduit.ai/0.1.0-snapshot/examples/java.md).

# Java

- [TensorFlow (2.x)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving.md)
- [MNIST](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving/tf-mnist_java.md): This page illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Java SDK for Konduit Serving.
- [BERT](https://serving.konduit.ai/0.1.0-snapshot/examples/java/tensorflow-model-serving/tf-bert_java.md): This page illustrates a simple client-server interaction to perform inference on a TensorFlow model using the Java SDK for Konduit Serving.
- [Deeplearning4j (DL4J)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/dl4j_java.md): This document illustrates how to create Konduit Serving configurations with the Java SDK:
- [DataVec](https://serving.konduit.ai/0.1.0-snapshot/examples/java/datavec_java.md): Konduit Serving supports data transformations defined by the DataVec vectorization and ETL library.
- [Open Neural Network Exchange (ONNX)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/onnx_java.md): This page provides a Java example of inferencing  a model, built in Python with ONNX Runtime, a cross-platform, high performance scoring engine for machine learning models.
- [Keras (TensorFlow 2.0)](https://serving.konduit.ai/0.1.0-snapshot/examples/java/keras_java.md): This page illustrates a simple client-server interaction to perform inference on a Keras LSTM model using the Java SDK for Konduit Serving.