Run embeddings, classification and reranking from C++ with no libtorch and no ONNX Runtime: one header and one shared library that links only against libc. Works with C++11, C++14, C++17 and C++23, and takes four commands from nothing to output.
Load Llama, Mistral, Qwen or Phi inside a C++ program and generate text in-process. One header and one shared library, blocking replies and token streaming, with the model running on your own machine.
Which Kjarni file you need on Windows and where it comes from: Kjarni.dll and kjarni_ffi.dll for C# and Unity, kjarni_ffi.lib and kjarni.h for C++, and kjarni.exe for the command line. Nothing else to install from 0.2.4.
Add keyword, semantic and hybrid search with cross-encoder reranking to a Qt 6 / QML application, running locally in C++ with no Python, no ONNX Runtime and no server. A complete working example with real results.