Tutorial "Recommending movies: retrieval" is broken due to protobuf version conflict

The movie retrieval tutorial/notebook is broken due to a version conflict of the protobuf dependencies.

https://github.com/tensorflow/recommenders/blob/main/docs/examples/basic_retrieval.ipynb

Running the pip installs in the notebook (as well as in offline environments) yields the following error:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts. tensorflow-datasets 4.9.2 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible. tensorflow-metadata 1.13.1 requires protobuf<5,>=3.20.3, but you have protobuf 3.19.6 which is incompatible.

And subsequently:

ImportError: cannot import name 'builder' from 'google.protobuf.internal' (/usr/local/lib/python3.10/dist-packages/google/protobuf/internal/__init__.py)

Side note: installing scann in an offline environment will currently force tensorflow 2.11, which will conflicht with modules like tensorflow_datasets and tensorflow_recommenders.

Open docs/examples/basic_retrieval.ipynb and run its pip install cells in a clean environment to reproduce the protobuf resolver warnings and ImportError. Compare the notebook's installed versions with the reported tensorflow-datasets, tensorflow-metadata, and ScaNN constraints. Done means the tutorial installs and runs without the reported protobuf conflict, including in the described offline setup.