Factual package intelligence from PyPI
RAGLight is a lightweight and modular Python library for implementing Retrieval-Augmented Generation (RAG). It enhances the capabilities of Large Language Models (LLMs) by combining document retrieval with natural language inference.
pip install raglight
PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==1.5.0==0.16.0==14.0.0==2023.5.1==0.3.4==1.1.1==2.11.7==1.2.0==1.1.0==1.2.5==1.0.5==5.1.2==1.26.7==0.6.1==1.0.1==1.1.6==1.1.1==1.57.0==4.1.3==0.2.1==4.15.0==3.9.2==0.2.2==0.128.0==0.35.0The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.
raglight publishes 1 wheel and 1 source archive for version 3.4.7. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 71 releases with files. The first dated release is ; 38 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
The project does not publish external project URLs in its PyPI metadata.