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Without getting into any big debates about whether or not RAG is medium-term interesting or whatever, you can ‘pip install sentence-transformers faiss’ and just immediately start having fun. I recommend using straightforward cosine similarity to just crush the NYT’s recommender as a fun project for two reasons: there’s an API and plenty of corpus, and it’s like, whoa, that’s better than the New York Times.

He’s trying to sell a SaaS product (Pinecone), but he’s doing it the right way: it’s ok to be an influencer if you know what you’re taking about.

James Briggs has great stuff on this: https://youtube.com/@jamesbriggs



> crush the NYT’s recommender as a fun project for two reasons

Could you share what recommender you're referring to here, and how you can evaluate "crushing" it?

Sounds fun!




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