While semantic search shine at various tasks including advanced search engine and recommender systems, it did not shine that much on coding task so far appart from benchmarks available in papers. We think standard semantic code search tools lack of advanced filtering features. A key element to code search is to be able to reduce "search space", i.e reduce the set of likely candidates given the intent of the user or the coding agent. We think semantic search alone is not enough and needs to be paired with advanced filters such as GREP filters to succeed.
I build my personnal search engine which record things I like on twitter, blog posts etc.. It automatically calls those APIs using Github Action and store them in an open source database (json file)
I actualy use it at least twice a week to retrieve content I bookmarked, so I'm happy to have created such a tool.