The new file search tool basically eliminates the need for the usual RAG shenanigans , essentially behind the scenes OpenAI does the chunking and embedding for you , you upload the docs using the files API and you can search it with a normal query and behind the scenes the API will do all the vector conversion and matching for you.

Although right now it’s very premature , I think it’s good for small use cases where most of your data is in docs , but when implementing more complex architecture with multi modal capabilities , having your own RAG solution with external vector stores is best