Vector Similarity Search With Configurable Distance Metrics And Result Ranking

via “batch-semantic-similarity-scoring”

sentence-similarity model by undefined. 20,92,10,613 downloads.

Unique: Integrates seamlessly with sentence-transformers' util.semantic_search() function which uses optimized FAISS-style indexing for top-k retrieval without computing full similarity matrices, reducing memory overhead from O(n*m) to O(n) for large-scale retrieval

vs others: More memory-efficient than naive cosine similarity implementations and faster than computing similarities on-the-fly from raw text, though slower than specialized vector databases (FAISS, Milvus) for >100k document corpora