Graph view like Obsidian-style
planned
G
Geoffrey Makstutis
As Dima Diall points out, the true value of the graph is that it allows a quick way to see relationships. Personally, when working with something like research notes, I use a graph to give me a way to quickly consider possible relationships that I can explore through my research/writing. Paul Mackay's point about the icons is an interesting one. I have been exploring the use of LLM-WIKIs and categorising things as:
- Authors
- Concepts
- Debates
- Source-notes
- Syntheses
- Themes
The ability to identify these by icon or coloured 'node' would further make identification and 'opportunistic' relationships more readily visible.
Michael Wessinger
I use it to check the links between the notes e.g. to find notes without connection to other notes.
To make it better than obsidian it would be great to have the following things:
- to see the different note types
- to visualize the link type (has, belogs to, etc.) based on the definition in the frontmatter.
- see the hierarchy of links based on on selected note (e.g. I have a type "Topic" and the topics are linked to each other with has and belongs to to build a topic hierarchy
Luca Rossi
updated the status to
planned
Luca Rossi
I am investigating this — to everyone who upvoted and already uses graph views in Obsidian, what do you exactly do with those?
The goal is to make it
better
than Obsidian, and an actually useful thing, not just for show. Any feedback is useful!P
Paul Mackay
Luca Rossi a nice touch on the Capacities graph is that it uses the icons of the entities, which gives more visual context. Given the use of relationships in Tolaria, those relationships could also be added to the connections.
I find the local graph of a note in Capacities quite useful for quickly seeing what else is related. It is particularly helpful if you can filter the graph by the connection depth (e.g., one, two, or three links deep going out from the note in focus).
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Dima Diall
Luca Rossi I find it helpful to visually grasp the relationships between topics/notes inside the knowledge base. super nodes, orphans, and so on, especially when exploring/discovering material that wasn't not curated by me (i.e. AI agent and LLM-Wiki) or not top of mind (e.g. revisiting old stuff or ingested links for reading later)... When the KB grows too large, it is important to have the ability to filter by topic/keywords and focus on particular clusters.