A related technique is generating an index using a machine learned model (well explained here: https://blog.acolyer.org/2018/01/08/the-case-for-learned-ind...). In interpolation search, we just use a simple linear model. Kraska and co. use much more complex models to beat BTree indexes. However, the Recursive Model Indexes (RMIs) that they published (https://github.com/learnedsystems/RMI) use Rust to a C++ model that is exported as a library, so it definitely doesn't seem ready for production yet!