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GENERATIVE-AI-ENGINEER-ASSOCIATE · Question #14

GENERATIVE-AI-ENGINEER-ASSOCIATE Question #14: Real Exam Question with Answer & Explanation

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RAG Data Processing and Chunking

Question

A Generative AI Engineer at a legal firm is designing a RAG system to analyze historical legal case precedents. The system needs to process millions of court opinions and legal documents, already organized by time and topic, to track how interpretations of specific laws have evolved over time. All of these documents are in plain-text. The engineer needs to choose a chunking method that would most effectively preserve continuity and the temporal nature of the cases. Which method do they choose?

Options

  • AImplement windowed summarization with overlapping chunks.
  • BImplement a hierarchical tree structure, like RAPTOR, to group similar legal concepts.
  • CImplement paragraph level embeddings with each chunk.
  • DImplement sentence level embeddings with each chunk tagged with the time to enable metadata

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Topics

#RAG#Text Chunking#Context Preservation#Temporal Data Processing
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