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Currently we don't have anything, and the RAG example just uses OpenAI's plain API to generate embeddings.
It seems simple enough to add a dedicated API to models to generate embeddings, would wouldn't provide much on top of what the OpenAI SDK already offers, but would help a lot with Gemini where there's currently not interface in what we have.
I suspect that the vector search part is harder to provide an API for: anything beyond toy examples will require full control of the database being searched, and we're not (yet) building an ORM.
Am I wrong or missing something?
The text was updated successfully, but these errors were encountered:
Currently we don't have anything, and the RAG example just uses OpenAI's plain API to generate embeddings.
It seems simple enough to add a dedicated API to models to generate embeddings, would wouldn't provide much on top of what the OpenAI SDK already offers, but would help a lot with Gemini where there's currently not interface in what we have.
I suspect that the vector search part is harder to provide an API for: anything beyond toy examples will require full control of the database being searched, and we're not (yet) building an ORM.
Am I wrong or missing something?
The text was updated successfully, but these errors were encountered: