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SURREALDB
Multi-model database with document, graph, and vector support
BSL-1.1
ABOUT
AI applications often need multiple data models — documents for content, graphs for relationships, and vectors for semantic search — forcing teams to maintain separate databases and deal with cross-system consistency and latency. SurrealDB unifies document, graph, relational, and vector data models in a single query engine, so developers can store hybrid data and run complex queries — including vector similarity search, graph traversal, and real-time subscriptions — without leaving one database.
INSTALL
curl -sSf https://install.surrealdb.com | sh
INTEGRATION GUIDE
1. Store AI agent memories and knowledge graphs in a single database that supports both vector search and graph traversal
2. Build real-time collaborative applications with live queries and subscriptions across document, graph, and vector data
3. Power recommendation systems that combine vector similarity, graph relationships, and document metadata in one query
TAGS
databasemulti-modeldocument-storegraph-databasevector-searchembeddingsrealtimewebsocket