Hann is presented as a high-performance library for approximate nearest neighbor search within the Go programming language. It utilizes Foreign Function Interface (FFI) to incorporate C/C++ components, providing an efficient backbone with fast distance computations using SIMD (Single Instruction, Multiple Data) AVX instructions. However, there is a notable absence of benchmarks for comparisons against other established libraries such as Redis, Vertex, Elastic, and FAISS, which raises questions about its performance standards and applicability. Encouragingly, the integration of SIMD suggests substantial speed advantages for distance calculations, but potential users await empirical data to validate these claims.