A Retrieval-Augmented Generation (RAG) Method for Efficient Source Code Inquiry Using Long-Context Language Models
A RAG-based method that extracts the call tree and source code of relevant functions from the execution trace of a software product, and appends them to the user's inquiry to enable accurate and context-aware responses from long-context language models.