George

Hi @mfirry Not yet :( will try to do it at the weekends

This problem is reproducible with podman, however with docker everything works as intended 🙃 When I tried to create a collection in Qdrant which is running inside a podman container,...

Related issues in pytorch and poetry repos: https://github.com/pytorch/pytorch/issues/88049 https://github.com/python-poetry/poetry/issues/6939 Until these issues are resolved, macOS users should either explicitly set `torch = ">=1.8.2,

Hi @sebastiancojocariu97 , could you provide an example of your request? How do you specify `points`? What is the `wait` parameter value? Do you use grpc or rest?

Hello, do you use local mode or server mode? Could you show your collection info?

How many vectors are you trying to insert?

Local mode actually has not been designed to handle millions of vectors, however it should handle 30k just fine. I would recommend you to switch to qdrant server (e.g. in...

At the moment, sparse embeddings are in general slower than dense embeddings It is especially noticeable in the local mode

closing in favour of #706

#731