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👋 Whether you've just discovered SurrealDB or are an early adopter, you're invited to our SurrealDB San Francisco to connect with fellow users and the SurrealDB team at San Francisco meetups.
Help us tailor our events by taking our member survey.
What is SurrealDB?
SurrealDB is an end-to-end cloud-native database designed for modern applications, including web, mobile, serverless, Jamstack, backend, and traditional applications. With SurrealDB, you can simplify your database and API infrastructure, reduce development time, and build secure, performant apps quickly and cost-effectively.
📺 Check out Fireship's 'SurrealDB in 100 seconds video' or join our vibrant Discord community.
Get started with SurrealDB
👉 Get started guide - Your step-by-step guide to start using SurrealDB.
🎓 SurrealDB Fundamentals course - An introduction to SurrealDB to get you started with the basics.
🎩 Surrealist - Start using SurrealDB straight away with our custom-built dashboard, where you can spin up a local development database with a single click or play around with sample data in the sandbox.
📝 Documentation - Easy access to our popular documentation so you have all the information you need.
Community spotlight
🗣️ Working on an interesting project with SurrealDB? We’re inviting members of the community to speak about their projects at our meetups.
Register here.
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Upcoming events (4)
See all- Network event7 attendees from 2 groups hostingBuilding Knowledge Graphs using LLMsLink visible for attendees
Join us to explore the process of building knowledge graphs using Large Language Models (LLMs). This online session focuses on using LLMs to automatically extract knowledge graphs from unstructured data.
You'll learn how an LLM can identify key entities and their relationships, creating a structured representation of information. We will then demonstrate how to integrate this LLM-generated knowledge graph into a RAG pipeline, transforming it into a GraphRAG architecture for improved accuracy and contextual understanding in question answering.
This online session is tailored for developers interested in advancing their RAG implementations or other AI projects with the power of LLM-driven knowledge graphs.
Agenda
- Introduction / Meet the Community - 10 minutes
- Building Knowledge Graphs using LLMs - 40 mins
- Q&A - 10 mins
👉 New to SurrealDB? Get started here.
🗣️ Speaker opportunities - submit your talk!
Working on an interesting project that you would like to share with the community? Submit your talk here.FAQs
Am I guaranteed a ticket at this event?
Our events are tech-focused and in the interest of keeping our events relevant and meaningful for those attending, tickets are issued at our discretion. We therefore reserve the right to refund ticket orders before the event and to request proof of identity and/or professional background upon entry.Is this event for me?
SurrealDB events are for software engineers, developers, architects, data scientists, data engineers, or any tech professionals keen to discover more about SurrealDB: a scalable multi-model database that allows users and developers to focus on building their applications with ease and speed.Are there any House Rules?
At SurrealDB, we are committed to providing live and online events that are safe and enjoyable for all attending. Please review our Code of Conduct and Privacy Policy for more information. It is compulsory for all attendees to be registered with a first and last name in order to attend. Any attendees who do not adhere to these requirements will be refused a ticket. - Network event2 attendees from 5 groups hostingWhat’s next for multi-model databases in AI?Link visible for attendees
The livestream will take place over on 👉 YouTube.
About the livestream:
What’s next for multi-model databases in AI?
Modern AI applications demand more than just simple data storage — they need flexible, intelligent infrastructure. In this livestream, SurrealDB CEO & Co-Founder Tobie Morgan Hitchcock joins the team to explore what’s coming next in the evolution of multi-model databases for AI.
We’ll take a closer look at new capabilities that help developers:
- Build more secure and adaptable APIs
- Streamline how apps interact with data and files
- Enable smarter, faster AI pipelines without leaving the database
Whether you’re building event-driven systems, working with LLMs, or architecting infrastructure for generative AI, this stream will give you a sneak peek at how we’re rethinking the database layer for tomorrow’s AI workloads.
💻 What is a SurrealDB Stream?
SurrealDB Streams are live, developer-focused sessions exploring new features, techniques, and use cases for building with SurrealDB.
Whether we’re diving into the latest product updates, showcasing real-world applications, or walking through hands-on demos, each stream is designed to help you get more out of SurrealDB.Join us live to ask questions, see the tech in action, and learn directly from the SurrealDB team.
- Network event3 attendees from 2 groups hostingBuilding Knowledge Graphs on unstructured data using NLP librariesLink visible for attendees
Discover how to turn messy, unstructured text into structured knowledge that supercharges your LLM apps. In this session, we’ll explore how to extract entities and relationships from raw text using popular NLP libraries, then organize that data into a queryable knowledge graph using SurrealDB.
We’ll show how to layer in semantic search with vector embeddings—allowing your RAG system to surface the most relevant context for any user query. You’ll see a side-by-side comparison of LLM outputs with and without this approach, highlighting the value of combining graph and vector-based retrieval.
This talk will guide you through:
- Using NLP techniques to extract a knowledge graph from a large corpus.
- Storing the knowledge graph in SurrealDB.
- Enhancing retrieval by combining semantic search via vector embeddings and the knowledge graph to deliver deeper, more relevant LLM responses.
This session is ideal for developers looking to deepen their understanding of graph-based RAG, NLP for graph extraction, and RAG techniques beyond prompt engineering.
Agenda
- Introduction / Meet the Community - 10 minutes
- Building Knowledge Graphs on unstructured data using NLP libraries - 40 mins
- Q&A - 10 mins
👉 New to SurrealDB? Get started here.
🗣️ Speaker opportunities - submit your talk!
Working on an interesting project that you would like to share with the community? Submit your talk here.FAQs
Is this event for me?
SurrealDB events are for software engineers, developers, architects, data scientists, data engineers, or any tech professionals keen to discover more about SurrealDB: a scalable multi-model database that allows users and developers to focus on building their applications with ease and speed.Are there any House Rules?
At SurrealDB, we are committed to providing live and online events that are safe and enjoyable for all attending. Please review our Code of Conduct and Privacy Policy for more information. It is compulsory for all attendees to be registered with a first and last name in order to attend. Any attendees who do not adhere to these requirements will be refused a ticket.Am I guaranteed a ticket at this event?
Our events are tech-focused and in the interest of keeping our events relevant and meaningful for those attending, tickets are issued at our discretion. We therefore reserve the right to refund ticket orders before the event and to request proof of identity and/or professional background upon entry. - Network event1 attendee from 2 groups hostingBuilding Knowledge Graphs using full-text and semantic search in-databaseLink visible for attendees
What if your database could generate a knowledge graph on the fly—no external APIs, no extra infrastructure?
In this online session, we’ll explore how to use SurrealDB’s built-in full-text and semantic search capabilities to extract structure from your data and build real-time knowledge graphs directly in the database.
You’ll learn how to:
- Use full-text and semantic search to surface entities and key relationships.
- Form connections that shape your knowledge graph.
- Query and retrieve context-rich data for use in AI projects.
This session is ideal for developers who need to build knowledge graphs for their AI projects. We’ll show how to go from raw data to graph-powered insights—all within a single system.
Agenda
- Introduction / Meet the Community - 10 minutes
- Building Knowledge Graphs using full-text and semantic search in-database - 40 mins
- Q&A - 10 mins
👉 New to SurrealDB? Get started here.
🗣️ Speaker opportunities - submit your talk!
Working on an interesting project that you would like to share with the community? Submit your talk here.FAQs
Is this event for me?
SurrealDB events are for software engineers, developers, architects, data scientists, data engineers, or any tech professionals keen to discover more about SurrealDB: a scalable multi-model database that allows users and developers to focus on building their applications with ease and speed.Are there any House Rules?
At SurrealDB, we are committed to providing live and online events that are safe and enjoyable for all attending. Please review our Code of Conduct and Privacy Policy for more information. It is compulsory for all attendees to be registered with a first and last name in order to attend. Any attendees who do not adhere to these requirements will be refused a ticket.Am I guaranteed a ticket at this event?
Our events are tech-focused and in the interest of keeping our events relevant and meaningful for those attending, tickets are issued at our discretion. We therefore reserve the right to refund ticket orders before the event and to request proof of identity and/or professional background upon entry.
Past events (3)
See all- Network event28 attendees from 4 groups hostingAI in Financial Services: Unlocking insights with Graph RAGThis event has passed
