Would anyone have any use case at all as to query for zettels based on information other than tags? I'm beginning to wonder if queries should be kept simple, supporting only tags.
I think it depends whether queries are meant to be used mainly from the zettel links themselves or if they should provide a powerful API for e.g. implementing a search engine. For example I use ripgrep in my zettel-mode for searching by title and text but I use neuron ... query to search by tags. Implementing a search engine is hard but I think it would be useful.
Hmm I'm not sure how that would work, the actual query would have to be processed from JavaScript. What I had in mind was to have a single search engine, accessible from neuron queries, without using any JS search library at all.
Another use case for non tag queries might be to query the graph itself and find backlinks for example. That would be useful for editor support, because it would allow users to browse the zettelkasten without opening the web app.
Add to query the functionality to retrieve nearby zettels zquery://search?linkFrom=<zid> zquery://search?linkTo=<zid> zquery://search?forestFrom=<zid> zquery://search?forestTo=<...
Would anyone have any use case at all as to query for zettels based on information other than
tags? I'm beginning to wonder if queries should be kept simple, supporting only tags.I think it depends whether queries are meant to be used mainly from the zettel links themselves or if they should provide a powerful API for e.g. implementing a search engine. For example I use ripgrep in my zettel-mode for searching by title and text but I use
neuron ... queryto search by tags. Implementing a search engine is hard but I think it would be useful.I'm starting to think that an integrated search page in the web application would be nice, sadly this requires abandoning fully static sites.
Well there are JavaScript based search libraries. Neuron can generate the index for using from the web browser.
eg https://github.com/bvaughn/js-search
Yeah but there is no way to use neuron queries to implement the search engine. So I guess queries by text won't be very useful after all.
When you generate .html files, we can also write a .json index (using neuron query), and use that from JavaScript.
Hmm I'm not sure how that would work, the actual query would have to be processed from JavaScript. What I had in mind was to have a single search engine, accessible from neuron queries, without using any JS search library at all.
If that's impossible then yeah, I guess queries could be kept simple, with only queries by tags (and maybe hierarchical tags later)
Another use case for non tag queries might be to query the graph itself and find backlinks for example. That would be useful for editor support, because it would allow users to browse the zettelkasten without opening the web app.
https://github.com/srid/neuron/issues/74