Leo Galambos
5e3d3c7c7d
- add the Rust-backed Python API with PyStemmer compatibility - distribute standard compiled models as a separate Python package - generate model artifacts during builds instead of storing them in Git - add GitHub release and Pages-backed package index workflows - add Python tests, benchmarks, documentation, and Gradle integration - refresh the documentation site, branding, and language benchmarks
1.5 KiB
1.5 KiB
Get Started with Radixor
Radixor provides first-class Java and Python runtimes over the same learned patch-command model. Choose the environment that matches the application; both use the maintained language catalog and can exchange compiled version 7 tries.
Python
Choose Python for native CPython integration, efficient batch calls, and a PyStemmer-compatible migration surface.
python -m pip install radixor
- Python Fast Track — install and produce the first stem.
- Python Quick Start — build an application workflow.
- Python Usage and API — scalar, batch, cache, and custom-model APIs.
Java
Choose Java for JVM integration, selectable reduction modes, registry-based model discovery, and extending or persisting compiled tries.
- Java Fast Track — add the core/model dependencies and produce the first stem.
- Java Quick Start — loading, querying, extension, and persistence.
- Java Integration Deep Dive — lifecycle and production guidance.
Shared concepts
- Built-in Languages documents aliases, model IDs, and defaults.
- Dictionary Format defines the common source semantics.
- Benchmarks separates runtime speed from linguistic quality.
- Architecture explains shared behavior and runtime-specific internals.