From 3f4efb19592f99fe31f753b8586ed64b5ef5a871 Mon Sep 17 00:00:00 2001 From: Jack Colquitt <126733989+JackColquitt@users.noreply.github.com> Date: Thu, 6 Nov 2025 18:23:36 -0800 Subject: [PATCH] Revise README to highlight AI-ready data infrastructure Updated the README to reflect changes in the platform's focus and capabilities. --- README.md | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index bb501c1c..627ece62 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,6 @@ -# The Production Agentic Context Stack
- - ---- - [![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) @@ -14,7 +9,9 @@
-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.
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