Document Algorithms and Functions better

[Luro02]

I am having a hard time understanding what all those functions of this library are used for and which one I should use.

It would be good to have a broad explanation of the algorithm, it's uses and maybe a link to some resources, that explains it in further detail. Maybe also list the advantages and disadvantages?

You could also include some real world examples

For example, how could I improve this simple search function with strsim, to not only find exact matches, but also very similar matches;

fn search(list: Vec<&str>, value: &str) -> Option<&str> {
    for x in &list {
        if x == value {
             return Some(x);
        }
     }
     return None;
}

Maybe this could be useful https://medium.com/@appaloosastore/string-similarity-algorithms-compared-3f7b4d12f0ff

[maxbachmann]

As a starting point for docs we can use the docs I have already written for rapidfuzz-rs here: https://docs.rs/rapidfuzz/latest/rapidfuzz/distance/index.html

The readme should probably guide people to either strsim, rapidfuzz or the reference implementation (once written) depending on the users requirements.