Would you be able to do something similar with non-text data (eg. tabular data)? For example, could you give it a bunch of excel files and ask it do give you the total units sold for an e-commerce site?
What I think would make sense would be to do it in two stages, and embeddings probably aren't really what you want.
You would want to parse the Excel files into a certain data structure, and quite possibly text completions could help with that.
Put that in a database or some files that you could use Python data science tools with or something.
Then use text completions to translate the natural language query into some short Python program or SQL query etc.
There are already data-focused tools for using OpenAI's newest models for doing this. Search for 'ChatGPT/GPT/OpenAI' data query, SQL, datatable, etc. See the OpenAI Discord #api-projects Discord, I have seen one or two like that.
Put that in a database or some files that you could use Python data science tools with or something.
Then use text completions to translate the natural language query into some short Python program or SQL query etc.
There are already data-focused tools for using OpenAI's newest models for doing this. Search for 'ChatGPT/GPT/OpenAI' data query, SQL, datatable, etc. See the OpenAI Discord #api-projects Discord, I have seen one or two like that.