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Insights & Updates

Thought leadership on enterprise AI, knowledge graphs, product updates, and engineering best practices.

Enterprise AISeptember 17, 2026·27 min read

Tagging Unstructured Documents for AI: Four Levels of Richness

What each level of document tagging buys, from vision models to ontology-guided extraction, what it costs at scale, and how to stop paying tokens on every page.

Kevin DoubledayRead article

Enterprise AISep 14

One Ontology or Many? What Survives Contact with Production Agents

A buyer asked whether to build one enterprise ontology or one per use case. Here are the six tests production agents apply, and the shape that passes them.

Kevin Doubleday19 min

Thought LeadershipSep 10

From Defense to Offense: Making Financial Data AI-Ready (and Revenue-Ready)

AI readiness and data monetization are the same initiative: a unified, governed, trustworthy view of the customer. What it takes, and how Fluree and Graphable deliver it.

Kevin Doubleday4 min

Company NewsSep 8

Fluree and Graphable Partner to Help Financial Institutions Turn Data Into an AI-Ready, Revenue-Generating Asset

Fluree’s semantic knowledge graph platform plus Graphable’s data engineering expertise: AI readiness and data monetization for banks, insurers, and financial firms.

Kevin Doubleday4 min

Enterprise AISep 8

Guide to the Enterprise AI Context Layer

What an enterprise AI context layer is, why agents fail without one, the Four Tiers of Enterprise Context, and how to add one without ripping out your stack.

Kevin Doubleday20 min

IndustryAug 25

One Intelligence Layer, From Supplier Contract to Shelf: Fluree for Consumer Packaged Goods

CPG runs on decisions whose context is scattered across ERP, trade, PLM, and CRM systems. Fluree connects it into one governed knowledge graph AI agents can trust — from trade promotion to the plant floor.

Kevin Doubleday14 min

Enterprise AIAug 23

Multimodal GraphRAG: Connecting Text, Images, and Audio

Multimodal models read an image and a transcript. They can’t tell you both are about the same asset. The connective tissue is a graph, not an embedding.

Kevin Doubleday17 min

Thought LeadershipAug 20

The Neural-Symbolic Loop: Where Data Engineering Meets Reasoning

Neural systems generalize but can’t be held to a rule. Symbolic systems are exact but can’t read a contract. Five lessons on making the two feed each other.

Brian Platz15 min

Enterprise AIAug 17

Building Intelligent Memory for AI Agents: Beyond the Context Window

Agents don’t have memory — they have a context window that empties. Four kinds of memory agents actually need, and why a graph is the substrate that holds them.

Kevin Doubleday19 min

Enterprise AIAug 14

Grounding LLMs: Why Knowledge Graph Quality Sets Your Accuracy Ceiling

Grounding an LLM in a knowledge graph only helps if the graph is good. Four properties decide how far your accuracy actually climbs — and where it stops.

Kevin Doubleday17 min

Company NewsJul 23

Fluree Launches Fluree AI to Transform Data Siloes into Institutional Memory

Fluree today announced the general availability of Fluree AI — a serverless knowledge graph platform that turns data siloes into governed institutional memory.

Kevin Doubleday4 min

ProductJul 23

Introducing Fluree AI: One Place for Your Data and Context — Infinite Interfaces on Top

Fluree AI is now generally available — a serverless knowledge graph platform that turns your data into institutional memory your AI agents can trust.

Brian Platz8 min

Enterprise AIJul 9

Agentic Memory, Priced: Why Fluree Memory Is the Token-Efficient Way to Give Agents Context

Transcript replay is the hidden tax on every agentic workflow. Here’s how write-back agentic memory keeps per-question context flat — and the AI bill predictable.

Kevin Doubleday10 min

Enterprise AIJul 7

Why AI Needs a Knowledge Graph: Durable Data, Explicit Meaning, Consistent Answers

LLMs generate language — they don’t know your business. Why explicit meaning, durable data assets, and answers you can repeat make knowledge graphs the missing foundation for enterprise AI.

Kevin Doubleday17 min

Thought LeadershipJul 6

Fluree in Production: Why JSON-LD Native Beats JSON-LD Compatible for Enterprise AI

Not all RDF databases treat JSON-LD the same way. A production-criteria comparison of Fluree, Stardog, GraphDB, AllegroGraph, and RDFox — benchmark, comparison table, and a decision framework for 2026.

Kevin Doubleday14 min

Thought LeadershipJul 3

The Right Database for AI Agents: Why Governed Enterprise Intelligence Needs a Semantic Graph

Data warehouses were built for human analysts running known queries. AI agents are not human analysts. Here’s what governed enterprise data infrastructure actually requires when autonomous systems are in the loop.

Kevin Doubleday10 min

Company NewsJun 23

Fluree Launches Verifiable Knowledge Graph Database for Agentic AI

Fluree today announced the general availability of FlureeDB — a semantic graph database engineered for an era in which every answer, human or machine, must be fast, defensible, and traceable to its source.

Kevin Doubleday7 min

ProductJun 23

Inside FlureeDB: The Features That Make a Knowledge Graph Verifiable

Most databases store records. FlureeDB stores knowledge — and the proof of where it came from. A walk through the features that make a knowledge graph verifiable: immutability, provenance, per-triple security, time travel, and more.

Brian Platz12 min

Enterprise AIJun 10

Context-in-the-Loop: The Architecture for Autonomous AI

AI agents fail not because they lack intelligence but because they lack context. Context-in-the-Loop is the next architectural step after HITL and RAG.

Brian Platz11 min

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