I developed a medical chatbot that delivers accurate and context-aware information about medicines using a combination of LLaMA, FAISS, and Sentence-Transformers. The system utilizes semantic search to understand user queries and retrieve the most relevant information from a pre-indexed medical database. By leveraging FAISS for efficient similarity search and Sentence-Transformers for high-quality embeddings, the chatbot ensures precise responses even for complex queries. The user interface is built with Gradio, allowing for an interactive and accessible experience where users can easily inquire about medications, their uses, and related guidance. This project aims to enhance accessibility to reliable medical information using advanced NLP techniques.