Hi D @88250 ,
I'd love to suggest integrating InfraNodus (https://infranodus.com/) into SiYuan to take the current graph view feature to the next level. This would not only enhance the visual aesthetics but also transform it into a research and text analysis powerhouse, offering:
- Advanced Clusters: More powerful and dynamic graph layouts, uncovering deeper connections between different nodes/notes.
- AI-Powered Insights: Use AI/Local LLM for identifying topic gaps, generating actionable insights, and bridging knowledge blind spots in between all the network clusters (clusters are like mini-subgroups categorized by AI, on the network).
- Text Analysis: Advanced tools to reveal recurring patterns, sentiment, and hidden ideas across notes or entire documents. OR enable semantic search (able to search & cite similar nodes without any previous interlinking)
- Seamless Integration: Fully compatible with markdown, enabling a smooth and enhanced workflow for SiYuan and other transitioning users.
This integration could greatly amplify SiYuan's value in the research and AI-powered PKM space, positioning it as a leader in AI-enhanced PKM tools perfect for research, analyzing and ideation. Let me know your thoughts!
There's an old open-source Repo on Infranodus (https://github.com/jaykdoe/infranodus) for your reference, if it's no use, then open-source graphical database Neo4Js (https://github.com/neo4j) resembles the look of Infranodus and ArrangDB (https://github.com/arangodb/arangodb) is also another good multi-model graphical database that could offer similar capabilities
I see a lot of potential in this feature, hopeful you could consider and add it to the roadmap later on 😄
Best,
Andy
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