Factual package intelligence from PyPI
A local, teaching-first RAG pipeline (Ollama + LangChain + FAISS) that turns any model into an instant expert.
pip install mnemosyne-rag
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2,>=1<0.5,>=0.4<2,>=1<2,>=1<2,>=1>=4.2>=2.4>=6.0>=0.12>=13.7>=1.28.0>=0.110The compact report shows 12 of 20 declarations. The interactive dependency graph loads the complete metadata.
mnemosyne-rag publishes 1 wheel and 1 source archive for version 0.6.4. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12.
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 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .
1 historical release is fully yanked in PyPI metadata.