We are deeply testing the new reasoning models from OpenAI and I need guidance especially from Pinecone on the future of RAG. I want it to be highly opinionated , data driven and research focused in the following areas :
When and where is RAG still an effective technique ?
In the era of Reasoning models, how do you balance the need for static and dynamic search?
In what data scenarios is RAG effective - Proprietary Data, Public Data , Structured vs Unstructured ?
RAG Latency - Reranking, changing top K has a cost.
Happy to be an early adopter to prove out certain hypothesis as well
Hi @kavita1 - Thank you for reaching out! We are working on some content related to this topic, so this is very timely. I’d love to learn a little more about your use case and thoughts around this. I will connect with you privately.
Thanks for the great question and input @kavita1! I know you’ve seen this, but want to share with others that run across this the latest article that addresses some of what you were asking.