deatos/HyperVectorDB
Local Vector Database coded in c# supports Cosine Similarity, Jaccard Dissimilarity as well as Euclidean , Manhattan, ChebyShev and Canberra distances
This tool helps developers working with C# to store and quickly search through large collections of text data based on meaning, not just keywords. You input text documents or strings, and it outputs the most similar documents along with a similarity score, enabling features like recommendation engines or content retrieval. It's designed for C# developers building applications that need efficient semantic search capabilities.
No commits in the last 6 months.
Use this if you are a C# developer building an application that needs to quickly find text documents semantically similar to a given query, without relying on an external, complex database service.
Not ideal if you are not a C# developer or if your application requires a distributed, cloud-based vector database solution.
Stars
31
Forks
5
Language
C#
License
MIT
Category
Last pushed
May 31, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/deatos/HyperVectorDB"
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