Oh, interesting, I didn't know about this project, thanks for sharing!
I tried to implement something like this for the search functionality, but ended up going with "old school" lexical search instead.
Mostly because, in my experimentation, vector search didn't perform significantly better, and in some case it performed worse. All the while being much more expensive on several fronts: indexing time (which also requires either an API or a ~big local model), storage, search time, and implementation complexity.
And Superego's agent actually does quite well with the lexical search tool. The model usually tries a few different queries in parallel, which approximates a bit semantic search.
I tried to implement something like this for the search functionality, but ended up going with "old school" lexical search instead.
Mostly because, in my experimentation, vector search didn't perform significantly better, and in some case it performed worse. All the while being much more expensive on several fronts: indexing time (which also requires either an API or a ~big local model), storage, search time, and implementation complexity.
And Superego's agent actually does quite well with the lexical search tool. The model usually tries a few different queries in parallel, which approximates a bit semantic search.