RAG for Video Stock Production with Pinecone and OpenAI

Human creativity goes beyond the range of well-known patterns due to our unique ability to break habits and invent new ways of doing anything, anywhere. Conversely, Generative AI relies on our well-known established patterns across an increasing number of fields without really “creating” but rather replicating our habits. In this chapter, therefore, when we use the term “create” as a practical term, we only mean “generate.” Generative AI, with its efficiency in automating tasks, will continue its expansion until it finds ways of replicating any human task it can. We must, therefore, learn how these automated systems work to use them for the best in our projects. Think of this chapter as a journey into the architecture of RAG in the cutting-edge hybrid human and AI agent era we are living in. We will assume the role of a start-up aiming to build an AI-driven downloadable stock of online...