Accuracy benchmark
95%+
GraphRAG retrieval accuracy on enterprise questions — where vector-only RAG hits a hard ceiling around 70%.
Because Fluree retrieves by traversing explicit relationships, not matching disconnected text fragments.
Enterprise intelligence that doesn’t hallucinate.
Ask any question across every data source in your organization. Get verified, source-cited answers in seconds. Build live dashboards on the fly. Automate complex tasks with AI agents grounded in governed, provable data — not statistical guesses.
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The Problem
Business leaders wait days, weeks, even months to get actionable insights — to understand where they can make an impact.
Where is our supply chain at risk for holiday sales?
VP, Procurement
Where is our supply chain at risk for holiday sales?— asked by a VP, Procurement.
I’d like a customer 360 of Hooli Corp.
Account Manager
I’d like a customer 360 of Hooli Corp.— asked by a Account Manager.
What is the average tenure of my top reps?
SVP, Sales
What is the average tenure of my top reps?— asked by a SVP, Sales.
What are the top feature requests from our largest customers?
VP, Product
What are the top feature requests from our largest customers?— asked by a VP, Product.
The shift
The data already exists.
It’s just trapped across disconnected systems.
Fluree AI is what reads across all of them — and answers.
Three steps.
One platform.
From a raw source to a governed knowledge graph — with answers that trace back to the row they came from.
Connect any source.CSV, API, Postgres, Snowflake, Salesforce — Fluree ingests it as-is. No schema migration. No pipelines to maintain.
The graph builds itself.Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.
Answers, with receipts.Ask in plain language. Every answer traces back to the exact row it came from — for humans, agents, and apps alike.
The Proof
Accuracy. Speed. Analyst recognition.
Speed benchmark
#1
Fastest read-write graph database on SPARQLoscope DBLP — and the only engine to complete every query.
0.28s geometric mean across 105 DBLP queries. 1.7× faster than Virtuoso, 138× faster than Oxigraph.
Analyst recognition
Gartner Cool Vendor in Data Management for GenAI.
Recognized for pioneering governed, GraphRAG-grounded AI for the enterprise.
Read the announcementWhat Makes Fluree AI Different
Three things wrappers over generic data stores can’t do.
Retrieves by relationships — not by fragments.
Most AI platforms chunk documents and retrieve by statistical similarity. Fluree traverses your knowledge graph with structured context, source lineage, and relationship-aware evidence.
Why it matters
Because “statistical similarity” isn’t the same as truth.
Vector RAG
Top-k fragments with conflicting context and no relationship path.
GraphRAG
Customer → Contract → Amendment → Policy
with cited lineage.
See where Fluree AI stands.
Every answer traced. Every source cited. Compare what matters in enterprise AI.
| Fluree AI | Glean | Palantir | ThoughtSpot | ChatGPT+Data | |
|---|---|---|---|---|---|
| AI data integration | Yes | Partial | Partial | No | No |
| Semantic layer + knowledge graph | Yes | Partial | Yes | No | No |
| Data-centric security | Yes | No | Yes | No | No |
| Time travel + audit | Yes | No | No | No | No |
| Provable AI (GraphRAG) | Yes | Partial | Partial | Partial | No |
| Query dashboards | Yes | Partial | Partial | Yes | No |
| Conversational analytics | Yes | Partial | Partial | Yes | Yes |
| Free self-service tier | Yes | No | No | No | Yes |
Go Deeper
Learn, evaluate, decide.
From first-principles explainers to industry analyst reports — everything an enterprise leader needs to build the case for GraphRAG-powered AI.
Webinar replay
Live walkthrough
The Future of RAG — Graph-Native AI with Fluree and MCP
The protocol + governance + graph story end-to-end — what enterprise-ready GenAI actually looks like.
Watch replay
Why it matters
Research reportWhy Enterprise AI Hallucinates — and the Science Behind Fixing It
The architecture choices that keep generative AI defensible in regulated environments.
Read the articleGraphRAG for GenAI Accuracy
Benchmarks showing enterprise retrieval accuracy from ~70% on vector RAG to 95%+ on governed GraphRAG.
DownloadStrategy
GraphRAG & Knowledge Graphs — Making Your Data AI-Ready for 2026
The data foundation every enterprise AI program needs — and the path to building it.
Read the articleWebinar replay
Live demo
Unified Intelligence — Ask Anything, Across Every System
A live MCP agent conversation spanning Salesforce, SAP, spreadsheets, and SQL — at 90% less cost than traditional integration.
Watch replayArchitecture
WhitepaperThe Power Trio Reshaping BI: GraphRAG, MCP & LLMs
Why these three together produce agents that actually work in production.
Read the articleSemantic GraphRAG — A Complete Overview
The accuracy foundation for enterprise AI — end-to-end architecture and evaluation criteria.
DownloadThesis
Executive downloadBuilding Corporate Memory for Enterprise LLMs
Why your data architecture determines whether AI can become a product your clients will pay for.
Read the articleSo you think you’re ready for a knowledge graph?
A readiness check for teams considering an enterprise KG — data modeling, stakeholder alignment, pilot selection, and scale.
DownloadIndustryKnowledge Graphs in Pharma
How life-sciences teams use knowledge graphs to connect trial, compound, and regulatory context.
Download