Inspired By RAG Prompt, 'rlm/rag Prompt' That Are Widely Used In LangChain Cookbook Or Example Code, We've Structured And Refined It. Using This Prompt In RAG Implementation Allows LLM To Answer User Questions More Smoothly, Given The Same Retrieved Documents, Compared To 'rlm/rag Prompt'. We've Seen An Improvement In The Overall Quality Of Answers. You Can Find More Crafted One At "pwoc517/more Crafted Rag Prompt"

Inspired by RAG prompt, 'rlm/rag-prompt' that are widely used in LangChain cookbook or example code, we've structured and refined it. Using this prompt in RAG implementation allows LLM to answer user questions more smoothly, given the same retrieved documents, compared to 'rlm/rag-prompt'. We've seen an improvement in the overall quality of answers. You can find more crafted one at "pwoc517/more-crafted-rag-prompt"