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Algorithms that perform exhaustive distance calculations to guarantee exact results in vector similarity tasks.
Distinguishing note: Focuses on exact search methods rather than approximate indexing.
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This project is a high-performance library designed for the similarity search and clustering of dense vectors across massive datasets. It functions as a vector similarity search engine, providing the necessary tools to organize complex numerical data into specialized structures that facilitate rapid retrieval and efficient querying of millions of records. The library distinguishes itself through a variety of advanced indexing and compression techniques, including hierarchical navigable small worlds for logarithmic time complexity and inverted file indexing to partition vector spaces into mana
Performs exhaustive distance calculations across all stored vectors to guarantee exact results for smaller or high-precision datasets.