在2500万个向量中查找向量的距离

I have 25 million high dimensional vectors (e.g. 2000 dimensions), what is an efficient system that where I can index those vectors, and then pass in a new vector and get back the K nearest vectors?I have 25 million high dimensional vectors (e.g