Improved vector range argument parsing

[abbottdev]

When trying to use a VectorRange query using a non-constant value, an exception is thrown:

Exception has occurred: CLR/System.InvalidCastException
Exception thrown: 'System.InvalidCastException' in Redis.OM.dll: 'Unable to cast object of type 'System.Linq.Expressions.UnaryExpression' to type 'System.Linq.Expressions.ConstantExpression'.'
   at Redis.OM.Common.ExpressionParserUtilities.TranslateVectorRange(MethodCallExpression exp, List`1 parameters)
   at Redis.OM.Common.ExpressionParserUtilities.TranslateMethodExpressions(MethodCallExpression exp, List`1 parameters)
   at Redis.OM.Common.ExpressionTranslator.BuildQueryFromExpression(Expression exp, List`1 parameters)
   at Redis.OM.Common.ExpressionTranslator.TranslateWhereMethod(MethodCallExpression expression, List`1 parameters)
   at Redis.OM.Common.ExpressionTranslator.BuildQueryFromExpression(Expression expression, Type type, Expression mainBooleanExpression, Type rootType)
   at Redis.OM.Searching.RedisCollectionEnumerator`1..ctor(Expression exp, IRedisConnection connection, Int32 chunkSize, RedisCollectionStateManager stateManager, Expression`1 booleanExpression, Boolean saveState, Type rootType, Type type)
   at Redis.OM.Searching.RedisCollection`1.GetAsyncEnumerator(CancellationToken cancellationToken)

Support therefore needs to be added to evaluate the expression rather than being hardcoded to a constant expression.

NB The Git LFS thing is still a rake that I stood on so I've included a note about running fetch-models until it's sorted :)

Have run the docker instance locally and have passing tests:

Passed!  - Failed:     0, Passed:     5, Skipped:     0, Total:     5, Duration: 2 s - Redis.OM.Vectorizer.Tests.dll (net7.0)
Passed!  - Failed:     0, Passed:   504, Skipped:    11, Total:   515, Duration: 7 s - Redis.OM.Unit.Tests.dll (net6.0)
Passed!  - Failed:     0, Passed:   504, Skipped:    11, Total:   515, Duration: 7 s - Redis.OM.Unit.Tests.dll (net7.0)

Look forward to feedback!

[slorello89]

LGTM 👍 thank you for adding this