Knowledge Graph Acceleration

Wherever you are in your Knowledge Graph journey, Fluree has the tools and technology to unify data based on universal meaning.

Fluree can answer complex questions that span your business and deliver insight across your organization.

Dynamic Data Collaboration

What makes Fluree different?

Knowledge Graphs shouldn’t just act as a disconnected layer away from your operational data – they should dynamically reflect, inform and drive your business.

With Fluree, your knowledge graph can expand across domains, power any number of applications, and extend both “read” and “write” capabilities to permissioned users.

Read / Write


Leverage Fluree as both an analytical layer and a system of operation. Unlike other Knowledge Graph platforms, Fluree is a read<>write database that can connect to consumers and producers via simple HTTP, API, or 2-layer application architectures.

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Identity / Access


Fluree embeds fine-grained access policies into your Knowledge Graph, making it easier and more accessible to share only the right data with the right consumers. Dynamically leverage relationships within the graph to determine identity and access.

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Share / Collaborate


Fluree isn’t a single monolith, nor is it a single use case tool; it can be deployed and decentralized across domains with many producers and many data consumers. Linked data standards means anyone can read from and write directly to the data tier.

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Fluree Core

Build with Fluree

Fluree Core’s knowledge graph database makes it easy to host, manage, discover and share knowledge.

RDF Graph Database

  • Inferencing
  • Flexible Query (GraphQL, SQL, SPARQL)
  • JSON-LD Native Format
  • Compatability

Secure Data Collaboration

  • Flexible Identity/Access Built-In
  • Cryptographic Proofs of Authenticity
  • Schema-on-read
Fluree Sense

Transform legacy data into linked semantic knowledge

Fluree Sense makes it easy to map legacy data into your target data model and transform it into rich, interconnected Knowledge Graphs. Our AI/ML pipeline automates the data mappings from local formats to a universal ontology and transforms the flat files into RDF.

  • Ontology Mapping
  • Physical Transformation to RDF
  • Load into Knowledge Graph DB

Bringing it All Together: The Fluree Knowledge Graph Process





Define Your Vocabulary

Start with a domain and model it — Fluree is flexible enough to handle any kind of business ontology. 

Or, start from a blank slate, and Fluree will allow you build on open standards and extend your data model overtime. 

Identify and Map Data to Your Model

Identify existing legacy data an map it to your model using AI/ML. Fluree sense identifies, integrates, and transforms your existing data into your target model and transforms to JSON-LD.

Connect your Knowledge Graph to Data Consumers

Once modeled, mapped, and transformed into Fluree’s Knowledge Graph database, you can now connect any kind of consumption pattern. Flexible query and data-centric security enable multiple data applications to sit ontop of your Knowledge Graph: Two-Tier Applications, Data Science Workflows, LLMs, and beyond.

Continue Building

The most valuable knowledge graphs are flexible and dynamic, adapting to new data types, consumer requirements, and business patterns. Fluree’s integrated toolset allows you to iteratively build data models, connect apps, and extend to new domains.

Free Guide

So You Think You’re Ready for an Enterprise Knowledge Graph?

A step-by-step guide to building sustainable knowledge graphs from legacy data.

Let’s Talk.

Whether you are building your first knowledge graph or looking to add key security, trust, and sharing features to an existing initative, we are ready to help.

Talk to an Expert