Prompt Content
Design a prompt engineering strategy to effectively query Claude Sonnet 4 using the structured XAI insights and contextual BESS metadata. The goal is for Claude Sonnet 4 to generate a concise, actionable explanation for each anomaly. Additionally, create a Pinecone index to store vector embeddings of past anomalies (e.g., embeddings of XAI features or anomaly summaries) and their associated Claude Sonnet 4 explanations. Implement a mechanism to query Pinecone for similar past anomalies when a new one is detected, providing historical context to Claude Sonnet 4 for richer explanations.
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