Call for doing a case study of RAG where it is helpful given the era of Reasoning Models

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 :

  1. When and where is RAG still an effective technique ?
  2. In the era of Reasoning models, how do you balance the need for static and dynamic search?
  3. In what data scenarios is RAG effective - Proprietary Data, Public Data , Structured vs Unstructured ?
  4. RAG Latency - Reranking, changing top K has a cost.
    Happy to be an early adopter to prove out certain hypothesis as well
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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.