Building Knowledge Graphs using full-text and semantic search in-database

Details
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
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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?
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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.

Building Knowledge Graphs using full-text and semantic search in-database