Databricks Certified Generative AI Engineer Associate — Question 85

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?

Answer options

• A. Implement windowed summarization with overlapping chunks.
• B. Implement a hierarchical tree structure, like RAPTOR, to group similar legal concepts.
• C. Implement paragraph level embeddings with each chunk.
• D. Implement sentence level embeddings with each chunk tagged with the time to enable metadata filtering.

Correct answer: A

Explanation

The correct answer is A because windowed summarization with overlapping chunks allows the system to maintain context between consecutive chunks, which is crucial for understanding the evolution of legal interpretations over time. Options B, C, and D do not effectively ensure continuity or address the temporal nature of the cases as required by the task.