Is this anything like what Langchain supports which is various strategies for chat history compression (summarisation)?

https://www.pinecone.io/learn/langchain-conversational-memor...

But aside from this, if I have a large document that I want to "chat" with, it looks like I am either chunking it and then selectively retrieving relevant subsections at question time, or I am naively dumping the whole document (that now fits in 32k) and then doing the chat, at a high cost. So 32k (and increased context size in general) does not look to be a huge gamechanger in patterns of use until cost comes down by an order of magnitude or two.