VeritasGraph: Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution
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Updated
Mar 7, 2026 - Python
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
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.
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.
A comprehensive guide to Palantir Foundry's Ontology strategy. / 世界最強のデータプラットフォーム「パランティア」の中核概念である『オントロジー』の戦略と実装を解き明かすOSS書籍プロジェクト。
Deterministic verification layer for LLMs | AI hallucination detection | Model output validation | Formal verification for AI | Python 🐍
AxonFlow: Execution control plane for production AI agents
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.
Multi-Modal RAG for .NET — query databases, documents, images and audio in natural language. Production-ready with multi-AI support, vector storage, and multi-database coordination.
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.
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.
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.
Privacy middleware for LLM & RAG pipelines - consistent pseudonymization, encrypted vault, SSE streaming rehydration.
[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).
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.
Forge is a secure, portable AI Agent runtime. Run agents locally, in cloud, or enterprise environments without exposing inbound tunnels.
A vendor-neutral, pattern-first AI strategy playbook by Textstone Labs. Practical frameworks, governance models, evaluation tools, and ready-to-use templates to go from business problem → deployment → adoption.
Advanced, end-to-end, enterprise-grade agentic AI pipeline that automates competitor ad intelligence, performs multimodal creative strategy extraction, enables brand-safe adaptation, and generates AI video ads using LLM reasoning, multimodal analysis, and deterministic workflow orchestration with full auditability.
Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.
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