Building Scalable Knowledge-Graph-Based RAG with Wikipedia API and LlamaIndex

Scaled datasets can rapidly become challenging to manage. In real-life projects, data management generates more headaches than AI! Project managers, consultants, and developers constantly struggle to obtain the necessary data to get any project running, let alone a RAG-driven generative AI application. Data is often unstructured before it becomes organized in one way or another through painful decision-making processes. Wikipedia is a good example of how scaling data leads to mostly reliable but sometimes incorrect information. Real-life projects often evolve the way Wikipedia does. Data keeps piling up in a company, challenging database administrators, project managers, and users.

One of the main problems is seeing how large amounts of data fit together, and knowledge graphs provide an effective way of visualizing the relationships between different types of data. This chapter begins by defining the...