TrustGraph
@TrustGraphAI
The Agentic AI Platform for Enterprise | Built by Data Engineers for Date Engineers | Context Engineering | Customizable and Extensible | Deploy Anywhere
LLMs are slow readers... 📖 🦥 🤔 It's something the Co-Founder of @TrustGraphAI said to me a few weeks ago. At first I thought - uh??? What do you mean??? But after a few seconds, it hit me. It's such a simple idea, but yet, I haven't seen anyone else talking about it. LLMs…
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LLMs Are Slow Readers | Part 4 | Engineering Thoughts | TrustGraph
Your compute and storage aren't just infrastructure—they're raw materials for an AI Factory 🏭 While most enterprises view compute and storage as operational overhead, TrustGraph transforms them into an AI engine for quality data and actionable insights.
It’s the 🚨 1 hour warning 🚨 for our latest webinar with Ishtiaque Mohammad from SowFin and our own Robert Hamilton! Tune in for a great discussion on how SowFin are using @TrustGraphAI to improve agentic solutions for corporate FP&A and M&A. youtu.be/0-4d442q9j4
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Agentic AI for Corporate Finance with SowFin | AI Fireside Chat |...
What is #DataStreaming? 🤔 In Part 3 of my "Engineering Thoughts" series, I dive into a topic that I could spend the next 2 months talking about: what is data streaming? #ApachePulsar is an integral part of @TrustGraphAI, but it's much more than just a pub/sub background. In…
Part 2 of my Engineering Thoughts Series is live. 📺 I like to think about networks from a perspective of how would I physically wire them together with actual wires. And for a lot of network topologies, that thinking really helps. As network needs have changed, networks have…
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Network Topologies | Part 2 | Engineering Thoughts | TrustGraph
The next frontier: AI agents that don’t just query knowledge—they create it 🤖 TrustGraph introduced something revolutionary: AI agents that build and enrich knowledge graphs. This is a fundamental shift from passive to active AI that constructs its own contextual understanding.
Engineering Thoughts Video Series 🤔 📺 I've started a new video series where I talk about the engineering concepts behind our design decisions for @TrustGraphAI. Part 1 is about system reliability. In my aerospace days, I was very surprised to see how wildly different system…
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System Reliability | Part 1 | Engineering Thoughts | TrustGraph
Join us at 11am Pacific Time on Wednesday Nov 5, for another AI Fireside Chat. 🔥 luma.com/6x8hiqbp
RAG is everywhere. GraphRAG that delivers true accuracy is rare. 📊 While most enterprises struggle with traditional vector-only RAG suffering from high hallucination rates and crude data handling, TrustGraph’s GraphRAG implementation is solving real production challenges.
Tired of enterprise AI platforms that treat you like a tenant instead of an owner? 🔓 TrustGraph flips the script. It’s a fully open-source, self-sovereign agentic AI platform that you deploy, control, and customize completely. github.com/trustgraph-ai/…
RAG is broken. Knowledge Cores are the solution.💡 One of the biggest challenges facing enterprise AI? Reusability. Every time you ingest data, you rebuild the context from scratch - wasting compute, time, and money. Instead, build Knowledge Cores. github.com/trustgraph-ai/…
Data sovereignty isn’t negotiable – your AI deployment options shouldn’t be either 🛡️ Today’s enterprises need AI that works across mixed environments: on-premises for sensitive workloads, private cloud for controlled scaling, public cloud for compute-intensive tasks, and edge.
The context crisis in AI has a solution: Knowledge Graphs 🕸️ LLMs struggle with the contextual relationships that drive enterprise decision-making. Knowledge graphs bridge this gap by providing the semantic foundation that transforms raw data into connected intelligence.
When your AI needs to handle billions of events, traditional messaging breaks down ⚡ Enterprise AI demands data streaming that can scale horizontally without reshuffling data or compromising performance. That’s why TrustGraph leverages #ApachePulsar for our platform.
TrustGraph’s agentic platform addresses the challenge of scaling intelligent automation while maintaining enterprise-grade security and governance. Our containerized approach ensures agents can operate across your mixed environments while preserving full stack sovereignty.
Breaking through the AI precision barrier with Natural Language Precision Retrieval 🎯 Traditional AI retrieval systems struggle with contextual understanding, TrustGraph’s approach combines knowledge graphs with natural language processing to deliver unprecedented accuracy.
🔥 From AI demo to production powerhouse ✅ Graph-native semantics for precise answers ✅ Auto-recovery with Apache Pulsar ✅ Fast vector search that just works ✅ Fact extraction > document chunking Full technical deep dive 👇 qdrant.tech/blog/case-stud…
Another milestone for @TrustGraphAI, version 1.4.22 is here! 🚀 🙏 After releasing structured data support in 1.3, 1.4 is all about improving the runtime experience, providing more flexibility for changing LLM parameters without having to restart the system. In addition, a lot…
Join us tomorrow at 11am San Francisco Time, 7PM London Time for an #AIFiresideChat with Tyler Oliver from @huntbase_io and Robert Hamilton. Learn how agentic AI is transforming SecOps, and how Huntbase are using knowledge cores to power their workflows. luma.com/p9pxn70d
🚨 The biggest minds in data streaming are here at #DataStreamingSummit2025 — and we're right in the middle of it. 👉 If you care about speed, scale, and trust, this is the event you don’t want to miss. We’re live at the Grand Hyatt at SFO — come find us. #TrustGraph #DSS
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