This session will focus on introducing the challenges of using ChatGPT, and discuss various approaches to overcome them, including fine-tuning the GPT model and using the Retrieval Augmented Generation (RAG) methodology. We will also discuss in detail the pros and cons of each approach. We will then discuss how to measure the results and how to pick an approach that would best suit based on the needs. Then we will dive deeper into a real-world example along with code and explore how to use vector embeddings and vector databases.