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Show HN: Chonky – a neural approach for text semantic chunking

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11–20 of 38 posts

Re: Show HN: Chonky – a neural approach for text semantic chunking

#13

So I could use this to index i.e. a fiction book in a vector db, right? And the semantic chunking will possibly provide better results at query time for rag, did I understand that correctly?

Yes and yes you are correct!

Re: Show HN: Chonky – a neural approach for text semantic chunking

#14
post #11

Just to understand: The model is trained to put paragraph breaks into text. The training dataset is books (in contrast for instance to scientific articles or advertising flyers). It shouldn't break sentences at commas, right?

No it shouldn't but since it neural net there is a small chance though.

Re: Show HN: Chonky – a neural approach for text semantic chunking

#19
It seems to me like chunking (or some higher order version of it like chunking into knowledge graphs) is the highest leverage thing someone can work on right now if trying to improve intelligence of AI systems like code completion, PDF understanding etc. I’m surprised more people aren’t working on this.
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