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Comment by gthompson512

Sorry, looking more, it doesn't seem like you are doing what you are saying. This is just poorly breaking text into bad chunks with no regard for semantics and is like ~200 lines of actual code. What is this for? Most models can handle fairly large contexts.

Edit: That wasn't intended to be mean, although it may come off that way, but what is this supposed to be for? Myself I have text >8k tokens that need to be embedded and test things regularly.

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