This is a super cool idea! I've sort of mused about an idea for general web search that's very similar to this concept, where you start with a set of trusted entities and then branch out from there, but choosing how you establish trust is really important. But this is a really clever application, well done!
Very cool work.
It's worth mentionion that the Graph browser using "Retina" is a project from Ouestware (https://www.ouestware.com/en/) which is also contributor to the GraphCommons and GephiLite projects.
Given the structured nature of the data, how does this compare to running a specialized classification model that looks for specific words in a review and uses those to assign Chefs to Restaurants? With some fine tuning, you might get more consistent results than feeding the reviews into a generative model.
This looks great! I was just looking for a good web knowledge graph visualizer.
This was inspiring, what a cool idea. Just curious—-for 4o mini isn’t there a json mode that reliably produces structured output? Was that what you were referring to / ended up using?
Great project. I propose an improvement over this conventional kind of object-style graph. Instead, every single item should be a node or an edge. The objects are needless complexities that obscure pure graph relations. Like this: https://memelang.net/03/
Very interesting. A small tweak and it seems like this could be applied to the problem of identifying degree of separation from political dissidents or other targets with the right data source. Lots of tools already exist that do that, but it's kind of wild how accessible and scalable certain techniques have become.
Nice! How'd the local models do vs gpt4o-mini? Did you spend much time playing with datasette?
Do you think this will work as effectively with Google or Social Media review and rating datasets? As every country may not have a LeFooding.com
Would like to here everyone's thoughts
Graph embed does not appear to work in FF 135. Loaded in Chrome though.
Edit: Seems to be a me issue.
Looks interesting, have you tried utilizing a multimodal model?
What's the use case for maintaining a list of restaurants that use LLMs?
[flagged]
[flagged]
The embedding is kind of weird. Like, there's no reason a "degree: 1" node should be so far away from its sibling.
Example: https://imgur.com/a/7Cktyzp
This makes the graph look more random/noisy/disorganized than it actually is.