Part 8/11:
Realizing that a direct push from raw documents to knowledge graphs is fragile, Shapiro advocates for an intermediate step: document summarization. This reduces token counts, enhances consistency, and minimizes errors downstream.
He shares a refined prompt for extracting legal information, resulting in precise summaries of court cases, suitable for embedding in a knowledge graph or further analysis. The process involves iterative prompt engineering to balance detail and brevity—trading off some context to maintain clarity.
Reflection and Future Directions
Throughout the session, Shapiro emphasizes two critical points: