The post asks if there is a native implementation in LlamaIndex to address the issue of "Lost in the middle: Performance degrades when models must access relevant information in the middle of long contexts". A community member mentions finding a similar implementation in LangChain, but another community member responds that LlamaIndex does not have a native implementation, and that the LangChain implementation only reorders the retrieved chunks, which may not be helpful. The community members discuss the potential usefulness of this approach and note that LlamaIndex has added a re-ordering feature as well. The post does not have an explicitly marked answer.
Low-key though, I don't know if it's actually helpful. You aren't reducing the size of the context, you still have stuff "in the middle" -- it's just re-ordering it.
