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Show HN: Code Indexer Loop
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From the initial look, it looks like you're taking the work of SweepAI, a source-available repo, which gave(?) it to LlamaIndex(1) and then you're just providing a wrapper around the LlamaIndex that provides a way to do an Update statement. 1) https://docs.sweep.dev/blogs/chunking-improvements
From the initial look, it looks like you're taking the work of SweepAI, a source-available repo, which gave(?) it to LlamaIndex(1) and then you're just providing a wrapper around the LlamaIndex that provides a way to do an Update statement. 1) https://docs.sweep.dev/blogs/chunking-improvements
The difference is packaging it as a consumable PyPI package that can easily be used in a project (they even call out for separating this out into a stand alone project but that they lack the time to do so: https://docs.sweep.dev/blogs/chunking-2m-files#future- )
In addition, we expand and fix the implementation, for example it now supports limiting on token count instead of character count, and we fix some white space inconsistencies in parsing/chunk reconstruction.
From the initial look, it looks like you're taking the work of SweepAI, a source-available repo, which gave(?) it to LlamaIndex(1) and then you're just providing a wrapper around the LlamaIndex that provides a way to do an Update statement. 1) https://docs.sweep.dev/blogs/chunking-improvements
Sweep is mentioned as attribution in multiple places a) https://github.com/definitive-io/code-indexer-loop#attributi... b) https://github.com/definitive-io/code-indexer-loop/blob/fd9d... The difference is packaging it as a consumable PyPI package that can easily be used in a project (they even call out for separating this out into a stand alone project but that they lack the time to do so: https://docs.sweep.dev/blog…
Earlier quoted context omitted.
Sweep is mentioned as attribution in multiple places a) https://github.com/definitive-io/code-indexer-loop#attributi... b) https://github.com/definitive-io/code-indexer-loop/blob/fd9d... The difference is packaging it as a consumable PyPI package that can easily be used in a project (they even call out for separating this out into a stand alone project but that they lack the time to do so: https://docs.sweep.dev/blog…
Looking forward to diving further in and seeing how you handle white spaces issues as I’ve had massive issues with that already
Could anybody show some example queries and answers?