SurrealDB Headlines

DEV Community

A developer shares a technical guide on using SurrealDB's graph traversal queries to build video recommendations, including schema design and PHP integration.

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SurrealDB

SurrealDB announces version 3.1 with production stability, DiskANN for larger-than-memory vector search, audit logging, and a new release process.

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SurrealDB

SurrealDB published benchmark results for version 3.x, showing significant performance improvements over previous versions and competing databases.

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DEV Community

A developer compares seven vector databases including SurrealDB, discussing its performance in a RAG workload.

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DEV Community

SurrealDB announces an integration with Kreuzberg for document intelligence, enabling hybrid retrieval from unstructured documents.

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DEV Community

A developer builds a hybrid search system using SurrealDB's native vector and keyword search fused by Reciprocal Rank Fusion, demonstrating one-query retrieval.

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Global Legal Chronicle UK

SurrealDB, a multi-model AI-native database platform, raised an additional $23 million in Series A extension funding led by Chalfen Ventures.

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Efficiently Connected

SurrealDB 3.0 positions itself as a unified multi-model database for agentic AI, combining vector, graph, and relational capabilities in a single engine. The article discusses SurrealDB's argument that agent memory, multi-model data, and query logic should live transactionally inside a single database engine, rather than being spread across multiple systems.

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HackerNoon

SurrealDB has released version 3.0, bringing improvements in stability, performance, tooling, and developer experience, particularly for building AI agents. The company also raised a $23M Series A extension.

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SurrealDB Blog

SurrealDB has announced its availability on the AWS Marketplace. This integration allows users to deploy and manage SurrealDB directly through their AWS accounts.

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BigDATAwire

SurrealDB raised $23M in Series A extension funding and launched SurrealDB 3.0, an AI-native multi-model database with agent memory capabilities.

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