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README.md
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README.md
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<div align="center">
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## Data-to-AI, Simplified.
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## Autonomous Operations Platform
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[](https://pypi.org/project/trustgraph/) [](https://discord.gg/sQMwkRz5GX)
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</div>
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**TrustGraph transforms AI agents from experimental concepts into a continuous paradigm of autonomous operations within an organization.**
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It provides a robust, scalable, and reliable infrastructure designed for complex environments, complete with a full observability stack. TrustGraph automates the deployment of state-of-the-art RAG pipelines using Knowledge Graphs and Vector Databases and offers a unified interface to interact with all major LLM providers.
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---
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## Table of Contents
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- ✨ [Key Features](#-key-features)
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- 🎯 [Why TrustGraph?](#-why-trustgraph)
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- 🚀 [Getting Started](#-getting-started)
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- [Prerequisites](#prerequisites)
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- [Installation](#installation)
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- [Quick Start](#quick-start)
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- 🔧 [Configuration](#-configuration)
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- [Core Concepts](#-core-concepts)
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- 🧩 [Integrations](#-integrations)
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- 📊 [Observability & Telemetry](#-observability--telemetry)
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- 🤝 [Contributing](#-contributing)
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- 📄 [License](#-license)
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- 📞 [Support & Community](#-support--community)
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---
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## The AI App Problem: Everything in Between
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Building enterprise AI applications is *hard*. You're not just connecting APIs with a protocol - you're wrangling a complex ecosystem:
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## The Stack Layers
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## Key Features
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- 📄 **Data Ingest**: Bulk ingest documents such as `.pdf`,`.txt`, and `.md`
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- 📃 **OCR Pipelines**: OCR documents with PDF decode, Tesseract, or Mistral OCR services
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