What type of index is used when performing approximate value searches?

To find approximate values, indexes like R-Tree or BK-Tree (Burkhard-Keller Tree) are often used, depending on the task.

• R-Tree is used for spatial data, for example, to find objects close by coordinates.
• BK-Tree is used for searching strings with errors or typos, for example, when searching for words with similar spelling.

In the context of Go, data structures implementing such indexes can be used for efficient approximate search.

An example of using BK-Tree for searching words with errors:

// Example of a simplified BK-Tree structure for strings
// A real implementation requires a Levenshtein distance function