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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, ...

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