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Domain-specific RAG embedding model for Data Science & ML documentation retrieval
pip install ds-rag-embedder
PyPI declares 21 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=3.0>=4.40>=2.1>=1.1.0>=1.24>=2.0>=1.3>=0.23>=2.19>=4.66>=6.0The compact report shows 12 of 21 declarations. The interactive dependency graph loads the complete metadata.
ds-rag-embedder publishes 1 wheel and 1 source archive for version 1.0.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .