Unlock the Power of Knowledge Graphs

We're excited to announce the launch of TrustGraph, an open-source AI infrastructure-as-code project designed to revolutionize the way you use GenAI to extract knowledge buried in data. TrustGraph simplifies the complex world of knowledge graphs, building graphs straight from a text corpus in a totally automated knowledge pipeline.

What is TrustGraph?

TrustGraph is more than just Graph RAG it's a platform that empowers you to:

• Deploy with Ease: Get started in seconds with our single-line deployments, eliminating complex setup processes.

• Integrate SLMs and LLMs: Leverage the strengths of the Language Model of your choice to enhance your applications.

• Build Robust RDF Knowledge Graphs: Extract the maximum details possible from your text corpus through our Naive Extraction process.

• Achieve High-Efficacy RAG: Improve your Retrieval Augmented Generation (RAG) capabilities by querying both vector embeddings and the knowledge graph to build the RAG context.

How Does TrustGraph Work?

At its core, TrustGraph is an AI infrastructure backbone that transforms unstructured data into a structured knowledge graph connected to the freedom of adding processing algorithms:

• Ingesting Data: TrustGraph enables knowledge extraction from any text corpus.

• Naive Extraction: Our efficient extraction algorithm identifies entities and relationships within your data.

• Graph Creation: Extracted information is converted into RDF triples, forming a comprehensive knowledge graph mapped to Vector Embeddings.

• Module Integration: TrustGraph seamlessly integrates with your preferred Language Models, enabling powerful RAG applications.

• Pub/Sub Backbone: Add processing agents by simply subscribing and publishing to data feeds.

• Deployment: Launch with a single line of code in cloud or local environments.

Why TrustGraph?

• Simplicity: Leverage the power of Graph RAG without being a knowledge graph expert.

• Flexibility: Integrate with your existing infrastructure and leverage a variety of Language Models.

• Efficiency: Our optimized extraction process ensures fast and accurate knowledge graph creation.

• Open Source: Benefit from community contributions and customization options.

Get Started Today

We invite you to explore the possibilities of TrustGraph. Visit our GitHub repository to learn more, contribute to the project, or start building your own knowledge graph.

• TrustGraph GitHub

• Get Started!

• Join the Discord

We're eager to see how you'll leverage this powerful tool to drive innovation.

Sincerely,

Daniel and Mark