[m-i-l]

Thanks, sounds interesting, not-dissimilar from some of the query expansion techniques. But in my case (open source, zero budget) I'm doing (slow) CPU inference, so an LLM in the query chain isn't really viable. As it is there is a near-instant "Source: [url]" returned by the vector search, followed by the LLM-generated "answer" (quite some time) later. So I think next steps will be "traditional" techniques such as query re-ranking and hybrid search, in line with the original "Build a search engine, not a vector DB" article.