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Surprise, your data warehouse can RAG

18 pointsby ukd110 months ago

5 comments

djhn10 months ago
Reading this was very valuable. I really appreciate the Vespa mention and introduction to their Multi-Vector HNSW Indexing - I’ve recently thought a lot about how difficult chunking is and this seems like a promising avenue.
maciejgryka10 months ago
This is one of the things we learned recently about building production workflows with LLMs. Happy to answer any questions/feedback here <3
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bun_terminator10 months ago
I don't know what a RAG is (and apparently it's forbidden to explain). And at this point, I'm afraid to ask.
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rodrigovicuna10 months ago
Here to learn more about this. Important for a startup I know.
29athrowaway10 months ago
RAG is as valuable as the data you can retrieve.<p>If the amount of data is small you don&#x27;t need the flexibility of RAG. And if it is irrelevant it will stay irrelevant after found.
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