For an alternative, you can use LangChain. Unfortunately GPT is not yet aware of what LangChain is or how it works, and the docs are too long to feed the whole

For an alternative, you can use LangChain. Unfortunately GPT is not yet aware of what LangChain is or how it works, and the docs are too long to feed the whole thing to GPT. But you can still ask it to figure something out for you. For example: “write pseudo-code that can read documents in chunks of 800 tokens at a time, then for each chunk create a prompt for GPT to summarize the chunk, then save the responses per document and finally aggregate+summarize all the responses per document” Basically a kind of recursive map/reduce process to get, process and aggregate GPT responses about the data. LangChain provides tooling to do the above and even allow the model to use tools, like search or other actions.