Show HN: Local note engine uses LLM to organize notes into a knowledge graph
NoteCast is a local engine designed to organize notes into a knowledge graph by summarizing and extracting keywords. It employs a three-stage LLM pipeline to categorize notes into themes and subtopics. The project is still in development, with plans for additional features and improvements.
- ▪NoteCast automatically summarizes and organizes notes into a knowledge graph.
- ▪The system uses a three-stage LLM pipeline to assign themes and subtopics to notes.
- ▪Users can configure various LLM providers and set base themes for better organization.
Opening excerpt (first ~120 words) tap to expand
What is NoteCast NoteCast is a local engine that enriches raw notes and organizes them into an evolving knowledge graph. Each note is automatically summarized, keyword-extracted, and embedded before it reaches the organization stage. From there, a three-stage LLM pipeline assigns it to themes, splits those themes into subtopics as they grow and rewires connections across the graph as patterns emerge. Why Im Building it I have built it until now because i like to take notes, randomly and for different purposes, but I dislike keeping track of them and also any process other than take the note itself, such as categorize or organize them. Right now the code is not stable, but usable. Might have a lot of bugs and code smells and I am working on it.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.