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Lightweight, production-ready RAG toolkit with 50-70% accuracy improvements. Enhanced BM25, BGE-Base embeddings, and semantic chunking - 100% offline.
pip install ragplus
PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.22.0>=2.2.0>=2.0.0>=0.9.0>=0.8.11>=0.2.2>=3.8>=5.0.0>=0.5.0>=8.3.4ragplus publishes 1 wheel and 1 source archive for version 0.2.2. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .