SharpVector

Build5Nines.SharpVector is an open-source, lightweight, in-memory vector database built specifically for .NET applications. It enables fast semantic search and text vectorization without requiring external database services. Designed for developers who need to embed vector search capabilities directly into their .NET projects, SharpVector supports pluggable embeddings from providers like OpenAI and Ollama, as well as a built-in local vectorizer. It offers both synchronous and asynchronous APIs, supports storing custom metadata alongside text vectors, and provides multiple similarity comparison methods (cosine similarity, Euclidean distance). The library includes basic disk persistence via BasicDiskVectorDatabase and text chunking utilities. Its simplicity and minimal dependencies make it ideal for prototyping, edge computing, and applications where low latency is critical. Unlike large-scale vector databases (e.g., Azure Cosmos DB, pgvector), SharpVector runs entirely in the application's memory, making it suitable for scenarios where data volume is moderate and dedicated infrastructure is not available.