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> It lets them retrieve documents or document fragments that do not contain the terms in the search query, but that are conceptually similar (according to the e
by magicalhippo 2y ago
> It lets them retrieve documents or document fragments that do not contain the terms in the search query, but that are conceptually similar (according to the encoder used).
I played with Latent Semantic Indexing[1] as a teen back in early 2000s, which also does kinda that. I haven't read much on RAG, I'm assuming it's some next level stuff, but are there any relations or similarities?
[1]: https://en.wikipedia.org/wiki/Latent_semantic_analysis#Latent_semantic_indexing https://en.wikipedia.org/wiki/Latent_semantic_analysis#Laten...
- kergonath 2y agoIt is similar to the retrieval stage, yes. The concept of RAG is to then feed the retrieved fragments to a model so it can generate an answer that takes them into account.