VectorRAG.Net is an in-process vector database designed for Retrieval-Augmented Generation workflows. It uses Random Hyperplane LSH for approximate nearest neighbor search with exact reranking, supports hybrid search combining vector and BM25 text search, and includes SIMD-optimized vector operations. The library runs directly in the application process without external services, targeting .NET applications that need low-latency semantic search and RAG capabilities.