Implementing Semantic Join Operators Efficiently — mentioned by itrummer

Sat, 11 Oct 2025 15:28:20 GMT

LlamaIndex relies heavily on RAG-style approaches, e.g., we're using items whose embedding vectors are close to the embedding vectors of the question (what you describe). RAG-style approaches work great if the answer depends only on a small part of the data, e.g., if the right answer can be extracted from a few top-N documents. It's less applicable if the answer cannot be extracted from a small data subset. E.g., you want to count the number of pictures showing red cars in your database (rather than retrieving a few pictures of red cars). Or, let's say you want to tag beach holiday pictures…

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Implementing Semantic Join Operators Efficiently · HackerPapers discussions

Implementing Semantic Join Operators Efficiently — mentioned by itrummer