they don't provide embedings, but storage and query engines for embeddings, so still very relevant
> - file processing startups -> don't need to process files anymore
curious what is that exactly?..
> - vertical ai agent startups -> GPT marketplace
sure, those startups will be selling their agents on marketplace
But you don't need any of the chain of: extract data, calculate embeddings, store data indexed by embeddings, detect need to retrieve data by embeddings and stuff it into LLM context along with your prompt if you use OpenAI's Assistants API, which, in addition to letting you store your own prompts and manage associated threads, also lets you upload data for it to extract, store, and use for RAG on the level of either a defined Assistant or a particular conversation (Thread.)