This is what I've found. It's so hard to do embeddings correctly, while it's so easy to search over a large corpus with a cheap LLM! Embeddings are also really inscrutable when they fail, whereas I find myself easily iterating if repogather fails to return the right group of files.
Of course, 'cheap' is relative -- on a large repository, embeddings are 99%+ cheaper than even gpt-4o-mini.
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Embeddings are actually generally not that effective for code.
This is what I've found. It's so hard to do embeddings correctly, while it's so easy to search over a large corpus with a cheap LLM! Embeddings are also really inscrutable when they fail, whereas I find myself easily iterating if repogather fails to return the right group of files.
Of course, 'cheap' is relative -- on a large repository, embeddings are 99%+ cheaper than even gpt-4o-mini.