Issues Solved

• Remove Archived Notes from ranking
  [regression] Archived notes are listed in note search/quick search #7085
• PARTIAL SOLVED? (Untested for that particular usecase) Still testing. Caches were introduced to hopefully increase speed.
  Search function slow since 0.98.0 #6808

Associations:

• Improves:feat(search): improve search weights and operators #6536

Dissociations:

• It should not interfer much with. Maybe smaller conflicts to be expected :/ resulting fromsyntax not semantics
  feat(search): implement FTS5 w/ sqlite for faster and better searching #6839
  OR
  feat(quick_search): just fuzzy match note titles for larger notes, while still matching on exact strings #6810

I am still quite confused tbh, since it is kinda an open question in research how to scale up search reliably: However looking at trilium as a potential folksonomy, the question of how to scale up search is a bit non trivial, but might be solved using equivalence classes instead.

Syntax matching won't scale past a certain note count. Web 2.0 was build using folksonomies. And folksonomies failed using that approach.

One solution might be to actually implement equivalence classes. I am currently drafting ideas here:
#1045

Research pointing out that Equivalence classes might be correct abstraction:

Varese & Castano, 2009, Building Collective Tag Intelligence through Folksonomy Coordination,https://link.springer.com/chapter/10.1007/978-3-642-20344-2_4 [They say that legit equivalence classes might be the solution]

Effective Retrieval of Resources in Folksonomies Using a New Tag Similarity Measure,https://arxiv.org/abs/1207.6033 [They propose clustering, which is just (imo) statistical equivalence classes]

Tag Similarity in Folksonomies,https://inforsid.fr/actes/2013/2013_5_1%20Mousselly%20Sergieh.pdf [Again clustering, and again i believe just statistical equivalence classes]

Conclusion
I will have this open for a bit more, and will work on equivalence classes instead, till a clearer pattern emerges. Maybe there is a generalized solution to scaling up search that no PKM has touched yet.