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Communication patterns for executing complex database operations over persistent network connections.
Distinguishing note: Focuses on the transport and execution protocol rather than the query language itself.
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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
Executes multiple complex database queries within a single network request using persistent websocket connections.