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Diagnostic tool for vector search failures in RAG and LLM systems. Evaluate embedding quality, analyze vector search rank correlation, benchmark BM25 vs semantic search, profile reranker performance. Identify root cause of retrieval failures.
pip install pyvectorhound
PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.
pyvectorhound publishes 1 wheel and 0 source archives for version 1.0.0. Wheel platform tags: macosx_11_0_arm64.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .