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Graph and vector search for accurate, real-time recommendations tailored by user behaviour, purchase history, and contextual signals.
Real-time data ingestion and AI-powered personalisation for pricing strategies that respond to customer segments, inventory, and market conditions.
Uncover fraudulent behaviour patterns in transactions, logins, and checkout processes using built-in graph capabilities in real time.
Automatically analyse and classify product images uploaded by vendors. Surface similar products and automate moderation workflows.
SEE IT IN ACTION
Combine purchase history graphs with vector similarity to surface the most relevant products for each customer.
USE CASES
Vector + graph search to drive conversion with AI-powered recommendations.
Semantic search powered by AI embeddings for intelligent product matching.
SurrealML automates image tagging and validation for faster vendor integration.
Graph analytics for transaction monitoring and anomaly detection.
Time-series analysis and trend detection for supply chain optimisation.
WASM + edge deployment in-browser or on-device for offline capabilities.
Embedded engine for real-time, offline-ready data synchronisation.
Historical data querying for audit trails and regulatory reporting.
TRUSTED BY
Samsung uses SurrealDB to power knowledge graphs for real-time audience insights and ad targeting in its ad division.
Learn moreTencent uses SurrealDB to consolidate nine backend tools into one real-time monitoring platform.
Learn moreWHY SURREALDB
Memory safety guarantees with performance equivalent to C/C++. Deploy at the edge, in-browser via WebAssembly, or on IoT devices.
Horizontal scalability with no sharding or external scaling logic. Ideal for peak season traffic, product launches, and flash sales.
Understand customer intent beyond keyword search, surfacing relevant results even from long-tail or poorly tagged catalogues.
Track inventory movement, pricing trends, and consumer behaviour in real time with historical time-travel queries for audits.
Deploy at the edge, in-browser, or on IoT devices for responsive retail experiences with offline capabilities and real-time sync.