zk VS milli

Hey there, here's some packages that might help you: - Org Roam - Denote - Zk

The citar package, which I created, has note integration packages available for both org-roam and denote (along with zk).

You could try denote as some others suggest. I found this, which takes inspiration from zettelkasten like roam but uses plain text and no database, https://github.com/localauthor/zk

You might try zk. I think it checks most of those boxes. https://github.com/localauthor/zk

Thanks for the links. A lot of ideas are very relatable and I agree, that the Zettelkasten might not fit the general note taking needs. As I pointed out, I am specifically interested in utilizing the zettelkasten-method in a research-workflow aiming to assist (and track) a structured cognition process. However, tools like org-roam and delve (which I recently checked out) introduce a certain degree of complexity to the system -- especially if you want to understand the technicalities of the utilized solution. Therefore, I'm very much intrigued by zk, developed by /u/oldjawbone recently. Asking you as the die hard PIM-enthusiast who you certainly are: What is your opinion on zk's general design decisions? Do you think it is reasonably future-proof,/u/publicvoit?

Located here: https://github.com/localauthor/zk

Is this a posting list? There is a lot of bioinformatics in this post, but if I squint, some of the problems do look like general information retrieval problems. Even the discussion of ordering the arrays by mass sounds like search relevance scores and makes me wonder if it makes sense to try to get something off the shelf like meillisearch/milli or tantavy to support this use case.

I'm currently not using any tool, although I am playing around with binding Milli and the most up-to-date Mentat fork to emacs with emacs-module-rs.

Yeah, we have already done that, the internal engine is called milli and could even be published on crates.io one day! The issue is with the design of the storage system itself, we use LMDB right now but maybe we can find another way to index faster and to be more oriented to distributed systems.

They have another prototype engine with more advanced features and performance too.

https://github.com/meilisearch/milli

You can look at the milli repository this is the library that we use and work on. MeiliSearch is the HTTP actix-web based server that serves the milli indices.

This library is the main bottleneck of the new MeiliSearch search engine. We will soon release a beta version, keep watching!

Working on the new MeiliSearch engine, reworked from scratch! There already is excellent external contributions 🎉