Fluree invites you to their event
About this event
Most databases store records. FlureeDB stores knowledge — and the proof of where it came from. In this hands-on session, we'll go past the pitch and actually build with it.
Starting from a clean install, we'll stand up a FlureeDB ledger, load real data, and query it two ways — SPARQL 1.1 and idiomatic JSON-LD — against the same engine.
From there we'll exercise the features that make a knowledge graph verifiable: an immutable ledger you can query at any past moment, per-triple access control enforced inside the query engine, git-style branch and merge for data, and cryptographically signed commits.
We'll wire up the bundled MCP server so an AI agent can query the graph directly — governed by the same policies — and close on deployment: the same single binary as a CLI, an HTTP server, an embedded Rust library, or fully serverless.
Bring a terminal if you want to follow along.
You'll leave with a working mental model of FlureeDB, the install + quickstart links to reproduce everything, and a clear sense of where it fits next to a triple store, a vector DB, and a stitched-together governance stack.
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Andrew Johnson is a lead software engineer at Fluree, PBC where he leads architecture and implementation for client projects. He's worked on software development solutions for projects that include university student information systems, patent publication records, consumer data ownership, and federal public housing policy.
