{"repo":"deatos/HyperVectorDB","free":true,"listed":false,"github":"https://github.com/deatos/HyperVectorDB","clone":"git clone https://github.com/deatos/HyperVectorDB.git","description":"Local Vector Database coded in c# supports Cosine Similarity, Jaccard Dissimilarity as well as Euclidean , Manhattan, ChebyShev and Canberra distances","language":"C#","stars":32,"topics":["ai","embedding-vectors","llm","llms","retrieval-augmented-generation","vector-database"],"license":"MIT","category":"ai-agents","readme_excerpt":"HyperVectorDB HyperVectorDB is a local vector database built in C# that supports various distance/similarity measures. It is designed to store vectors and associated documents and perform high-performance vector queries. This project supports Cosine Similarity, Jaccard Dissimilarity, as well as Euclidean, Manhattan, Chebyshev, and Canberra distances. If you are looking for a python library to do the same thing check out John Dagdelen https://github.com/jdagdelen/hyperDB Installation Features(To be updated) - Query/Response Caching : Currently only supported for cosine similarity queries. This feature allows the database to cache the results of a query for a given vector, so that the next time the same vector is queried, the results are returned immediately. This feature is useful for applications that require frequent queries on the same vector. - Cache invalidation : Cache invalidation is supported for cosine similarity queries. The cache is invalidated when a new vector is added to the database, or when a vector is removed from the database. - Query Functions : The database supports several types of queries for similarity and distance measures: - Cosine Similarity : This function performs a Cosine Similarity query on the database. - Jaccard Dissimilarity : This function performs a Jaccard Dissimilarity query on the database. - Euclidean Distance : This function performs a Euclidean Distance query on the database. - Manhattan Distance : This function performs a Manhattan Dis","default_branch":null,"files":null,"tree":[],"storefront":"/r/deatos","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/deatos/HyperVectorDB/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}