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86 points emzo | 1 comments | | HN request time: 0.343s | source
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wredcoll ◴[] No.44367010[source]
This looks cool, and I'm interested in these keywords, but I read the entire readme and I'm still unsure what problem it's actually solving.

Anyone want to help out?

replies(3): >>44367069 #>>44367076 #>>44372222 #
1. webstrand ◴[] No.44367069[source]
This is for LLMs. In general RAG takes a user prompt and uses it to find potentially relevant documents in the database. It then enriches the original prompt with those documents so that the LLM has context that wasn't in its training dataset.