Objective: To develop an AI-powered chatbot that enables users to interact with medical research papers through natural language and retrieve accurate, context-aware information. Goal: To simplify medical literature review by providing intelligent document search, summarization, comparison, and question-answering capabilities using RAG and LLMs. Research Gap: Existing medical research tools often lack conversational AI, semantic document retrieval, and efficient multi-paper analysis, making research time-consuming and less accessible. Result: The developed chatbot successfully performs semantic search, summarizes research papers, compares multiple documents, and delivers reliable responses with relevant contextual information. Future Scope: The system can be enhanced by integrating advanced medical LLMs, citation-aware responses, multilingual support, real-time research database connectivity, and voice-based interaction for healthcare professionals.