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enterprise-ai

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This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.

  • Updated Aug 9, 2025
  • Jupyter Notebook

The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing, training and fine-tuning for enterprise AI. RoCE Network provisioning is also inlcuded.

  • Updated Jul 15, 2025
  • Python

Enterprise-grade prompt engineering toolkit: Distilled best practices, production-ready meta-prompts, and a professional AI agent that transforms simple requirements into battle-tested prompts.

  • Updated Jul 13, 2025

⚡ Production-ready .NET Standard 2.1 RAG library with 🤖 multi-AI provider support, 🏢 enterprise vector storage, 📄 intelligent document processing, and 🗄️ multi-database query coordination. 🌍 Cross-platform compatible.

  • Updated Oct 25, 2025
  • C#

Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.

  • Updated Jun 1, 2025
  • Python

Comprehensive, community-curated directory of autonomous AI agents, frameworks, platforms, and automation tools for developers and enterprises. Explore the latest in multi-agent collaboration, coding automation, workflow orchestration, and domain-specific AI assistants.

  • Updated Oct 18, 2025

This production-ready AI system automates customer support with multi-step workflows, tool integration, stateful conversations, and real-time performance monitoring.

  • Updated Oct 25, 2025
  • Python

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