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Utilities for defining type-safe table structures and data access patterns within application code.
Distinguishing note: Focuses on the developer-facing schema definition layer rather than database-side schema enforcement.
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SurrealDB is a multi-model database engine designed to store and query document, graph, relational, and vector data within a single ACID-compliant platform. It functions as an AI-native data store, integrating vector search, graph traversal, and machine learning model execution directly into its query layer. By providing a unified declarative query language, the platform eliminates the need for external middleware to synchronize data across different storage models. The platform distinguishes itself through its ability to manage agent memory and complex workflows natively. It allows developer
Creates type-safe table references to ensure language compatibility and consistent data access patterns.