This talk will delve into the hot topic of how to create a vector database, going further than just theory making several practical examples, and giving good guidelines on how to proceed and how to create efficient vector embeddings to locate within the vector database. We will focus on Azure OpenAI for this talk and compare it with some other OpenSource embedding models.