Schema and Indexing Strategy for Qdrant Threat Store

implementationChallenge

Prompt Content

Propose a Qdrant collection schema for storing adversarial attack patterns, including metadata, attack type, severity, and the vector embeddings. Describe your strategy for generating these embeddings (e.g., using a pre-trained sentence transformer or a custom-trained model) and how you would populate the Qdrant instance with a diverse set of 5-10 mock adversarial threat vectors. Implement the Qdrant indexing module.

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