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Revise README to highlight AI-ready data infrastructure

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Updated the README to reflect changes in the platform's focus and capabilities.
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Jack Colquitt 2025-11-06 18:23:36 -08:00 • committed by GitHub
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# The Production Agentic Context Stack
<div align="center">
<img src="TG-hero-diagram.svg" width=100% />
---
[![PyPI version](https://img.shields.io/pypi/v/trustgraph.svg)](https://pypi.org/project/trustgraph/) ![E2E Tests](https://github.com/trustgraph-ai/trustgraph/actions/workflows/release.yaml/badge.svg)
[![Discord](https://img.shields.io/discord/1251652173201149994
)](https://discord.gg/sQMwkRz5GX) [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/trustgraph-ai/trustgraph)
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</div>
TrustGraph is a production-ready platform for building post-training agentic systems. Combine your domain data with LLMs through unified infrastructure: real-time data pipelines, knowledge graph construction, vector retrieval, and agent orchestration. Deploy locally or in any cloud. Complete data sovereignty. Built by engineers, for engineers.
# AI-Ready Data Infrastructure
TrustGraph provides an integrated data-to-AI platform that automatically transforms raw data into AI-ready datasets through automated structuring, knowledge graph construction, and vector embeddings—all deployable privately, on-prem, or in your cloud. You can deploy and manage your own LLMs within the same platform, ensuring your data never leaves your infrastructure while enabling agents that generate real, actionable insights.
<details>
<summary>Table of Contents</summary>