Call data in xarray using long and latitude

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Python

dataset

I have the problem that inside my nc dataset:
Dimensions are x and y
Coordinates are longitude and latitude:

<xarray.Dataset>
Dimensions:                 (x: 521, xfit: 6, y: 420)
Coordinates:
    longitude               (y, x) float32 ...
    latitude                (y, x) float32 ...
Dimensions without coordinates: x, xfit, y

As you know it is easy to call and value based on index by x and y. for example
if I want to call variable sar_wind which is available, you can use this code

wind_speed_at_x_y_index = ds.sar_wind.isel(x=14,y=45).values.
You will get the speed wind at this index.

Nevertheless, It is important to find the values at given longitude and latitude. I still have no idea how can I call based on longitude and latitude which are the coordinates here.

Is there any way to reshape/reorganize the data to call the values directly using longitude and latitude coordinates?

What I have tried:

I have tried many different options:

option one:

print(ds.sar_wind.where(longitude=14,latitude=15).values)

I got the following error:

TypeError: where() got an unexpected keyword argument 'longitude'

I tried with other functions like sel, I got the same error

The longitude and latitude values are float numbers and not integer.
Like

[4.8334117 4.841021  4.848631  ... 8.818756  8.826535  8.834313 ]
 [4.831756  4.8393664 4.8469768 ... 8.817567  8.825347  8.833126 ]
 [4.8301    4.8377113 4.8453226 ... 8.816378  8.824158  8.831939 ]