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3. **Cascade Operations**: Use cascade operations to handle deletions and updates. 4. **Validation**: Validate relationships programmatically before committing changes. 5. **Documentation**: Document the relationships and constraints to ensure consistency and maintainability. By following these steps and best practices, you can ensure that relationships between fields are properly enforced in your database, maintaining data integrity and consistency. [Turn 1138] User: I'm assessing Pinecone 2.0.0 for vector DB, and I'm noting its 180ms search on 500K vectors. I want to make sure I'm using the best library for my use case, so can you help me compare Pinecone with other libraries? I've got a list of requirements, but I'm not sure if I've considered all the trade-offs. Here's my current code for evaluating Pinecone: ```python import pinecone class VectorDBEvaluator: def __init__(self, library): self.library = library def evaluate(self): # Evaluate search performance search_time = self.library.search(500000) return search_time # Example usage library = pinecone.init(api_key='YOUR_API_KEY', environment='us-west1-gcp')