Description
Dense vector embeddings can be searched, indexed, and clustered efficiently for machine learning, recommendation, and retrieval systems.
This is a CPU library for developers and data scientists. It does not provide an app by itself, and privacy depends on the vectors and metadata stored in applications using it.