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Agreed. For example, here is a post about integrating vector search results with semantic graphs for RAG - https://news.ycombinator.com/item?id=39141420

And here's a post on an alternative way to integrate vectors with traditional databases (Postgres, MySQL) - https://neuml.hashnode.dev/external-database-integration

As others have said in this thread, cosine similarity on arrays of vectors isn't novel. But there are many possibilities past that, many we haven't thought of yet too.



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