Your library holds thousands of books. EpubGraph maps the hidden connections between them using neural embeddings, so the perfect next read surfaces itself.
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Maker
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I have over 75k books more than I can read in 9 lifetimes the problem is I did not know how to find the next one I need to read, tried browsing in Calibre but that is a slow bloated and old open source project that had its time but its too outdated, tried goodreads but its recommendations are sub par and they do not come from my library... So I decided to build a Rust based (fast a hell), multiplatform library that uses Ollama and local ai models to find my taste... the netflix of books is here.
Creating the 75k embeddings does take 3 days on my macbook pro m4 but it's more than worth it. Trust me
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@paolo_grimaldi I really like that it's all local and private and works off my own books. Few questions:
I buy a lot of paper books too. Can those go into the graph as well?
Once the library is embedded, is the graph stored so it stays usable offline, or does it need Ollama running each time?
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Maker
@alieksia hey thank you for taking notice! Yes once it’s embedded your embeddings work forever, and to clarify ollama does not need internet connection the models run on your machine locally, you only need to download the required models. And paper books need to be digitized and or processed with OCR.
@paolo_grimaldi I really like that it's all local and private and works off my own books. Few questions:
I buy a lot of paper books too. Can those go into the graph as well?
Once the library is embedded, is the graph stored so it stays usable offline, or does it need Ollama running each time?