Document all pre-requisites, dependencies, and assumptions.

[dmoore247]

Is your feature request related to a problem? Please describe.
Make enterprise installs easier by documenting every library (already in the License Section) and every service required.
Document assumptions, such as data plane needs access to pypi.org...

Describe the solution you'd like
A dependencies.md document file or a dependencies section in a larger install document.
Also include assumptions.

[dmoore247]

Databricks resources required for the full experience:

• Unity Catalog, not mounts
• Storage Credential
• External Location
• Schema, Volume, Tables, SQL Functions, Python Functions
• Python libraries as documented in README.md#License
• ML Models as documented in README.md#License
• GPU Cluster (for Active Learning example)
• Model Serving Endpoint

9. Though not recommended, If reading from a S3:// path or other cloud storage paths, you need permissions

GRANT SELECT ANY FILE TO `first.last@domain.com`

Map EXTERNAL VOLUMES to any cloud storage paths you may have and wish access to.

Genie Space:

GPU Cluster (Active Learning)

Demo schema

Lakehouse App (for OHIF viewer)

vector index: