RAG4Tickets: AI-Powered Ticket Resolution via Retrieval-Augmented Generation on JIRA and GitHub Data
The research proposes a Retrieval-Augmented Generation (RAG) framework to help software teams resolve recurring issues faster. It integrates historical JIRA tickets and GitHub PR data using Sentence-Transformers and FAISS for semantic search. This system retrieves relevant past cases, which an LLM then synthesizes into grounded, explainable resolution suggestions, significantly improving accuracy and reducing resolution time.