Summarization quality depends on the question, of course mathematical or programming requests will benefit from reasoning models, but for some casual researches consisting of a few web-pages summarization is done ok even by mistral:7b, but as for the Detailed Report it would be better done by a reasoning model.
I'm the coauthor of this project (UI part). I've joined this project when it was below 100 stars (a week ago), motivated by the 'local' sentiment. I think all of those 'open' alternatives are just wrappers around PAID 'Open'AI APIs, which just undermines the 'Open' term. My vision for this repo is a system independent of LLM providers (and middlemen) and overpriced web-search services (5$ per 1000 search requests at Google is just insane). Initially, I just wanted to experiment a bit and didn't expect the repo to explode, so feel free to critique the UI code I hacked together over a few evenings.
The ultimate goal:
A corporation-free LLM usage (local graph database integration sounds good).
A corporation-free web search (this is a massive challenge — even SearXNG relies on Google/Bing under the hood)
So, if you feel the same join the project, and lets build something great!
