This is neat, but it's not zettelkasten - it's building a browse-able knowledge DB from content.
Zettelkasten is about about writing down your ideas in response to content, with a link to that content, and then linking to other ideas that your already logged. It's not an extraction of ideas from that content. This is a common mis-understanding of zettelkasten.
I’ve thought about something like this, but I feel like the core part of the Zettelkasten method is the act of making connections and extracting ideas from the sources you interact with.
Love the automatic linking of related concepts - that's the holy grail of knowledge management! I'm curious about your approach to idea extraction and clustering. How do you handle nuanced distinctions between similar concepts? For instance, if I have articles discussing both "eventual consistency" and "strong consistency," does the system recognize these as related but distinct concepts, or does it risk merging them?
Also, the RAG integration over your whole library is powerful. How do you balance between surfacing diverse perspectives versus creating potential echo chambers when the system preferentially links to existing concepts in your knowledge graph?
It seems like a useful research tool, but it doesn't have much to do with zettelkasten. At best it helps creating literature notes, but permanent notes are always yours to write since they're about your own ideas, your own thinking, etc.
I love this concept, an AI-managed zettelkasten that actually closes the loop back into new sources.
As the TODOs in end of your repo, I just humbly suggest that make "full text search" the top priority,enhancing discoverability and trustworthiness.
This is neat, but it's not zettelkasten - it's building a browse-able knowledge DB from content.
Zettelkasten is about about writing down your ideas in response to content, with a link to that content, and then linking to other ideas that your already logged. It's not an extraction of ideas from that content. This is a common mis-understanding of zettelkasten.
I’ve thought about something like this, but I feel like the core part of the Zettelkasten method is the act of making connections and extracting ideas from the sources you interact with.
Love the automatic linking of related concepts - that's the holy grail of knowledge management! I'm curious about your approach to idea extraction and clustering. How do you handle nuanced distinctions between similar concepts? For instance, if I have articles discussing both "eventual consistency" and "strong consistency," does the system recognize these as related but distinct concepts, or does it risk merging them?
Also, the RAG integration over your whole library is powerful. How do you balance between surfacing diverse perspectives versus creating potential echo chambers when the system preferentially links to existing concepts in your knowledge graph?
It removes the most important part of Zettelkasten: You
True
It seems like a useful research tool, but it doesn't have much to do with zettelkasten. At best it helps creating literature notes, but permanent notes are always yours to write since they're about your own ideas, your own thinking, etc.
https://www.dsebastien.net/2022-05-01-zettelkasten-method/
Does this tool work offline or does it require an API connection to external services like OpenAI?
I love this concept, an AI-managed zettelkasten that actually closes the loop back into new sources. As the TODOs in end of your repo, I just humbly suggest that make "full text search" the top priority,enhancing discoverability and trustworthiness.