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VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution
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.
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.
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.
[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).
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.
Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.
⚡ 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.
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.
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.
Next-gen enterprise multi-agent AI framework for autonomous agent swarms with code-level control, military-grade efficiency, and hybrid intelligence.
Turn your enterprise knowledge into intelligent applications. Blue Morpho helps you build AI agents that understand your business context, using ontologies and knowledge graphs.
SnapDoc AI processes everything on-device, ensuring your sensitive information never leaves your control. Use voice and text on-device processing in organizations.
Adapted Microsoft sample showing how to deploy a chat app to Azure App Service with AI Foundry.
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.
Enterprise AI Agent Orchestration for Java/Spring Boot. Sequential, parallel & conversational flows with Apache Camel integration.
Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.
This repository contains resources related to prompt engineering IBM Granite LLMs.
📊 Transform documents into a smart knowledge base using Neo4j and Azure AI for efficient, intelligent searching and answer generation.
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