Scaling with Pinecone

We will be implementing Pinecone’s innovative vector database technology with OpenAI’s powerful embedding capabilities to construct data processing and querying systems. The goal is to build a recommendation system to encourage customers to continue their association with a bank. Once you understand this approach, you will be able to apply it to any domain requiring recommendations (leisure, medical, or legal). To understand and optimize the complex processes involved, we will build the programs from scratch with a minimal number of components. In this chapter, we will use the Pinecone vector database and the OpenAI LLM model.

Selecting and designing an architecture depends on a project’s specific goals. Depending on your project’s needs, you can apply this methodology to other platforms. In this chapter and architecture, the combination of a vector store and a generative AI model is designed to streamline operations and facilitate...