SurrealDB Stream #28: Exploring Indexing & the Core Engine in SurrealDB
Curious to learn more about indexing and the core engine in SurrealDB. Join us on January 23 for an insightful session hosted by our CEO and Co-founder, Tobie Morgan Hitchcock, and Senior Staff Engineer, Emmanuel Keller. š Focus: - Indexing functionality - How full-text-search and vector indexes are implemented within SurrealDB core engine and a breakdown of how it works in embedded, single-node, and distributed deployments - Optimisations of the query planner and plans for the future. - An overview of how the executor, iterator, and document processing works.
THE PLATFORM
Everything an application and its agents know. Five surfaces, one engine.
Database
Document, graph, vector, time-series and relational in one engine.
Read more
Agent Memory
What an agent learns, with its source and its time, in the same engine.
Read more
Cloud
Managed clusters in the regions you choose, scaled on demand.
Read more
Studio
Query, explore and design the schema from the browser.
Read more
MCP
Every model that speaks MCP reaches the database and the memory directly.
Read more
IN PRODUCTION
Trusted at scale. Samsung, Nvidia, Verizon, Tencent, and Walmart run on SurrealDB.
14,000+
Developers building on SurrealDB Cloud
4M+
Developers building on SurrealDB worldwide
FROM THE TEAMS
SurrealDB gives us a foundation where we can unify semantic search, knowledge graphs, and AI-driven decision making without stitching together multiple systems. Collapsing responsibility into SurrealDB has become our default engineering posture.
Justin Foley
VP of Engineering, Later
GET STARTED
Start building with SurrealDB. One data layer for AI, from object storage to agent memory.
