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SurrealDB - Vectors, Graphs, Documents, Time-Series Unified

SurrealDB - Vectors, Graphs, Documents, Time-Series Unified

One database for vectors, graphs, documents, and time-series - built for AI agents

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Updated Jul 2026 · Added Jul 2026
surrealdb.com
Vector DatabasesFreevector-databases
SurrealDB - Vectors, Graphs, Documents, Time-Series Unified

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What is Surrealdb?

SurrealDB is a multi-model database platform designed as a context layer for AI agents. It consolidates knowledge, memory, and context in a single unified system that supports vectors, full-text search, time-series data, documents, graphs, and relational data - all queryable through SurrealQL with ACID transactions and strong consistency. Built for developers and enterprises who need production-scale AI agents without managing multiple databases and their synchronization challenges.

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Key Features of Surrealdb

  • Multi-model database (vectors, full-text, time-series, documents, graphs, relational)
  • Single ACID transaction across all data types
  • Built-in authentication with row-level security
  • SurrealQL unified query language
  • Hybrid RAG and graph RAG capabilities
  • Agent memory and conversational memory
  • Live queries and event-driven automation
  • Geospatial queries
  • Knowledge graphs and context expansion
  • One SDK, one driver, one connection pool

Who Should Use Surrealdb?

Build production-scale AI agents with reliable context management

Consolidate knowledge bases for AI applications without sacrificing speed or control

Implement agent memory and conversational context in a single transaction

Manage vectors, documents, and graphs for hybrid RAG systems

Build knowledge graphs for context expansion and recommendations

Implement real-time event-driven automation

Surrealdb: Pros & Cons

Pros

  • Eliminates need for multiple databases and complex synchronization
  • Strong consistency with ACID transactions across all data models
  • Built-in authentication and row-level security at the database layer
  • Unified query language (SurrealQL) reduces complexity
  • Supports hybrid RAG and graph RAG for AI applications
  • Live queries for real-time updates
  • SOC 2 TYPE 2, GDPR, ISO 27001, and Cyber Essentials Plus certified

Frequently Asked Questions about Surrealdb

What makes SurrealDB different from traditional vector databases?

SurrealDB is a multi-model database that combines vectors, graphs, documents, time-series, and relational data in one unified system with ACID transactions and strong consistency, eliminating the need to manage multiple databases.

Can I run SurrealDB locally?

Yes, you can install and run SurrealDB locally using curl -sSf https://install.surrealdb.com | sh from your terminal.

Does SurrealDB support authentication and security?

Yes, SurrealDB includes built-in authentication and row-level security defined directly in the database using record-level access controls and table permissions in SurrealQL.

What query language does SurrealDB use?

SurrealDB uses SurrealQL, a unified query language that works across all data models (vectors, documents, graphs, time-series) in a single transaction.

Tool Details

Pricing
Free
Added
Jul 2026
Last Updated
Jul 2026

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