🚀 Our SurrealDB Cloud region in India is now live. If you’re building with our multi-model database, you can benefit from lower latency for your AI agents and real-time apps. Find out more about our fully managed database service. 👉 https://t.co/8bkF959qXt

From startups to global enterprises, developers are using our multi-model database to build AI agents, knowledge graphs, and real-time systems. Learn how they’re doing it. 👉 https://t.co/QbR7IY4wPC

SurrealMCP connects your AI tools directly to SurrealDB. In this quick walkthrough, watch @cursor_ai connect to our multi-model database, insert, and query data, entirely via MCP. Find out more. 🔗 https://t.co/B7c5bTwtNM

Multi-model RAG can be powerful, but what’s it actually like to build in practice? Our own @martinschaer walks through his @LangChainAI experiments and lessons learned. 👉 https://t.co/oyeL84InqU

Just starting your journey with our multi-model database? Take a fun, scenic tour through the fictional city of Riverdale and get to know the key concepts. Start your tour now. 👉 https://t.co/lEpd9benNK

The SELECT statement in SurrealQL is used to select and query data. When combined with the LET statement, you can store the result and use it for subsequent queries. See more examples in our docs. 👉 https://t.co/vMvxhQj4cv

💜 Dev quote of the week. What if your database could call APIs when data changes? That’s exactly what SurrealDB enables. Thanks Satadeep Dasgupta for highlighting the power of DEFINE EVENT + HTTP functions.

Ever wondered what it takes to build a multi-model database for traditional apps, AI apps, and Agentic Memory? @SebJohnsonUK sat down with @tobiemh to explore that, and plenty more. Watch the @ScalingEurope interview. 👉 https://t.co/JOnG1soqUG

Our next AMA with @tobiemh is on Nov 20. Curious about the latest updates to our multi-model database? Bring your questions and join us on Discord at 16:00 GMT. 👉 https://t.co/OUTbnmfrrb

Multiple databases giving you an operational headache? There’s a better way. @fountain_app migrated its graph and payments features to our multi-model database, replacing multiple services with one unified platform. Learn more. 👉 https://t.co/GaN4v0ZyWW

Wrestling with unstructured data and need to query it in a structured form? Discover how to bring historical texts to life by using LLMs to structure the text for storing and querying in SurrealDB as knowledge graphs. 👉 https://t.co/HSw37mUvti

AI apps and agentic systems can struggle with context, trust, and data reliability. Catch up on SurrealDB Stream #33 on-demand to learn how @AgnoAgi x SurrealDB helps developers overcome these challenges. 👉 https://t.co/TbM7dqVv52

Take your SurrealDB schema design to the next level. The first 10 tips from @mithridates laid the groundwork; now explore 10 more you might not have tried before. 👉 https://t.co/AX6cue273B

When you need to generate random data values to prototype different database table structures to see what works best, we have you covered. Rand functions in SurrealQL enable you to create dummy data quickly. Learn more. 👉 https://t.co/0zfOyr8P26

💜 Dev quote of the week. We’ll let this one speak for itself. Learn more about SurrealQL in our docs. 👉 https://t.co/IC7vPMrw5u

Our integration with the multi-agent framework @AgnoAgi includes several examples in the Agno Cookbook. @mithridates walks you through them, showing how SurrealDB integrates with Agno agents, teams, and workflows. 👉 https://t.co/pJOMKwnGWt

Got unstructured data? Our own @mithridates shows how to prepare it for our multi-model database, so you can power graph queries, vector search, data visualisations, and more. 👉 https://t.co/zwjSKeSoHH

Need a database offering multi-model flexibility, predictable performance, and the ability to embed within your app? That’s why @CalamuProtect relies on ours across both cloud and on-premise environments. Learn more. 👉 https://t.co/GmTXUBLbFp