The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly.
Milvus stands out with its accuracy and performance, offering efficient handling of large datasets through advanced similarity calculations like L2 norm and cosine similarity. It scales quickly due to effective containerization. However, high resource consumption and complex requirements challenge usability. Users find its documentation inadequate and performance lagging with excessive data. Improvements in simplicity and accessibility are needed to enhance user experience and reduce implementation complexity.
