Egregoros

@kaia @Arwalk I wish Panoptikon got more popular so I could recommend it to people without essentially outing myself as its author by mentioning it.

At the same time it would really suck if it got very popular right now when the Rust rewrite is 70% done and I'm trying to get back to work on it.
Anyways, it's a very flexible tool, although I think it's a bit difficult for most people to use, and especially to install (the latter due to it being a python + AI app)

I'm hoping to make this easier in the Rust version because it can then be distributed as a binary, and the binary can bootstrap the rest of the environment it needs... maybe. I haven't gotten to that point. It will still need to run python processes to do the actual inference part, but that can be isolated, and I am hoping I can set it up such that Rust automatically creates the right python envs and ensures dependencies work for each platform. I have a feeling that will be a lot of work.

@icedquinn @Arwalk @kaia In fact, in this case there's no generative LLM involved at least at search time.

Although most of the models (some of the embedding and OCR and taggers/classifier models) are actually some form of Transformer. The trend over time has been that transformer-based architectures outperform everything else in more and more tasks.

There's also the captioning models which are just generating text. All in all Panoptikon has configuration for several dozen models built in, for different purposes, and many ways of combining filters that search through their data. But the idea is that you can plug your own weights and models.

In the API, you can even combine filters with AND/OR/NOT operators, basically queries are written in a JSON-based "language" I call PQL, which gets compiled to SQLite SQL queries. The UI is more rigid, but it does have a lot of filters. It's a bit busy though, and even I sometimes struggle to find the right switch.

I'd like to improve on that at some point, when I have time. Overall I like the UI though, and I use it every day so it's not that bad.