How would you design an effective chunking strategy for information in a RAG (Retrieval-Augmented Generation) system?

Focus on breaking down the information into manageable, contextually relevant chunks that enhance retrieval efficiency and generation quality. Consider the types of data being processed and how they can be grouped logically—such as by topic, relevance, or user intent. Discuss the trade-offs between chunk size and the potential for information loss or context dilution. Highlight any algorithms or techniques you would use for chunking, and how your strategy would adapt based on user interactions or feedback. Finally, think about how to evaluate the effectiveness of your chunking strategy in improving the overall performance of the RAG system.