The community member who posted the original question is trying to understand the similarities and differences between LlamaIndex's "create and refine over a vectorindex" and Langchain's "load_summarize_chain with chain_type='refine'". Other community members respond that the LlamaIndex approach is more efficient than the base refine method, and that the LlamaIndex prompts may have been copied by Langchain. However, there is no explicitly marked answer to the original question.
Hi all. It looks like LlamaIndex's create and refine over a vectorindex, is pretty similar as Langchain's load_summarize_chain with chain_type='refine'. Are they really similar or im creazy?
