VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution

Your commands control the browser - made easy | Chrome Extension and RESTful API for Browser-Use

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.

Production operations framework for AI-powered SaaS. The architectural patterns, failure modes, and operational playbooks that determine whether your AI systems scale profitably or fail expensively.

Deterministic verification layer for LLMs | AI hallucination detection | Model output validation | Formal verification for AI | Python 🐍

AxonFlow — Source-available AI control plane for production LLM systems

Enterprise-ready solution leveraging multimodal Generative AI (Gen AI) to enhance existing or new applications beyond text—implementing RAG, image classification, video analysis, and advanced image embeddings.

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.

⚡ 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.

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.

The definitive Microsoft 365 Copilot prompt library for business teams. 300+ prompts for Office apps, Copilot Studio, and enterprise deployment. Battle-tested in production environments.

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.

[Migrated to self-hosted ari-web Forgejo: https://git.ari.lt/ari/enterprise-add] Enterprise AI parody: number addition in C using gradient descent (Machine Learning/AI).

Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.

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.

An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public financial data for real-time, audit-ready insights.

Next-gen enterprise multi-agent AI framework for autonomous agent swarms with code-level control, military-grade efficiency, and hybrid intelligence.

Adapted Microsoft sample showing how to deploy a chat app to Azure App Service with AI Foundry.

SnapDoc AI processes everything on-device, ensuring your sensitive information never leaves your control. Use voice and text on-device processing in organizations.

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