A curated list of Large Language Model (LLM) tools, frameworks, and platforms specifically focused on enterprise deployment. We've focused on what actually matters in production: security, scalability, compliance, and making sure things don't break at 3 AM.
This is a community-driven project to build a practical knowledge base and reference point for enterprise LLM architects.
Current Status:
- ✅ Partially verified: Some tools and architectures have been tested in production environments
- 🔄 In progress: Many tools and architectures are being validated by the community
- 📝 LLM-generated foundation: Portions of the content were generated by LLMs to provide a starting framework for practical validation
Our Goal: Together, we're building a comprehensive, practical knowledge base that serves as a reference point for architects designing corporate LLM solutions. This repository is meant to be a living document that improves through community contributions, real-world testing, and shared experiences.
We need your help! If you've deployed any of these tools or architectures in production, please share your experiences, challenges, and improvements. Every contribution makes this resource more valuable for the entire community.
- Open Source Tools
- Commercial/Paid Tools
- Reference Architectures
- LLM Development Guidelines
- Security & Compliance
- Enterprise Architecture & Governance
- Quick Navigation
- Contributing
- License
When we say "enterprise-grade," we mean it. Every solution here addresses:
- Security: Because one breach can kill your company. We cover authentication, authorization, data protection, and threat modeling.
- Scalability: Your system needs to handle 10 users today and 10,000 tomorrow. High availability, load balancing, auto-scaling, multi-tenancy - it's all here.
- Compliance: GDPR, SOC 2, HIPAA - we've mapped out what you need for each. No guessing.
- Observability: When things break (and they will), you need to know why. Monitoring, logging, tracing, alerting - the full stack.
- Integration: Your LLM needs to work with your existing systems. SSO, directory services, API gateways - we've got you covered.
- Data Privacy: PII handling, data redaction, encryption - because your customers' data is your responsibility.
See open-source-tools.md for a comprehensive list of open-source LLM tools. Note: Enterprise readiness assessments are based on available documentation, community feedback, and production deployments where available. Some tools (like Qdrant) have known limitations - we document what we know and what needs additional validation.
See commercial-tools.md for enterprise-grade commercial LLM platforms and services.
See reference-architectures/ for detailed implementation guides. Each architecture includes:
- TL;DR - Quick summary and assessment
- Common Issues - What usually goes wrong and how to fix it
- Security Recommendations - Tailored by organization size and data classification
- Real Examples - Actual configurations and code snippets
- On-Premise LLM Infrastructure - Complete on-premise deployment with security and multi-tenancy
- Data Warehouse (DWH) Integration - LLM integration with enterprise data warehouses
- CRM Integration - LLM integration with CRM systems
- ERP Integration - LLM integration with ERP systems
- Confluence Document Search - RAG-based document search in Confluence
- Data Analyst Assistant - LLM-powered assistance for data analysts
- Financial Analyst Assistant - Financial analysis and reporting assistant
- Developer Assistant - Code generation and development support
- Customer Support Automation - Automated customer support with LLM
See llm-development-guidelines/ for comprehensive development guidelines and requirements for building enterprise LLM services. These guidelines ensure that LLM services meet enterprise standards for security, observability, scalability, compliance, and reliability.
- Development Guidelines Overview - Overview and quick start checklist
- Security Requirements - Mandatory security requirements for LLM services
- Observability Requirements - Comprehensive monitoring, logging, and tracing requirements
- Scalability & Performance Requirements - Scalability and performance targets
- Compliance & Governance Requirements - Regulatory compliance and governance requirements
Note: These guidelines are mandatory requirements for all enterprise LLM services. Review them before starting development.
- Cybersecurity Framework - Comprehensive cybersecurity framework aligned with NIST, ISO 27001, and CIS Controls
- Security Architecture Selection Guide - Quick reference for selecting architectures based on security requirements
- Threat Model - Comprehensive threat modeling for LLM services
- Security Best Practices - Security guidelines and recommendations
- Data Governance - Comprehensive data governance framework aligned with DAMA-DMBOK, COBIT, and ISO standards
- MLOps Lifecycle - Complete MLOps framework for LLM model lifecycle management
- Enterprise Architecture Maturity - Maturity assessment framework aligned with TOGAF, COBIT, ITIL, and CMMI
- Performance Benchmarks - Performance benchmarks, SLAs, and monitoring guidelines
- Cost Optimization - Comprehensive cost optimization strategies for enterprise LLM
- Disaster Recovery - Disaster recovery and business continuity planning aligned with ISO 22301 and NIST SP 800-34
For detailed navigation, see INDEX.md - comprehensive index of all documents.
This repository thrives on community contributions! We especially need:
- Production experiences: Share your real-world deployment stories, challenges, and solutions
- Tool validation: Help verify enterprise readiness assessments with actual production data
- Architecture improvements: Update architectures based on your implementation experiences
- Security findings: Report security considerations and best practices from your deployments
- Performance data: Contribute actual benchmarks and performance metrics
Please see CONTRIBUTING.md for detailed guidelines. Every contribution, big or small, helps build a better resource for the entire enterprise LLM community.
This repository is licensed under the MIT License - see the LICENSE file for details.
This repository aligns with industry standards and frameworks:
- Data Governance: DAMA-DMBOK 2.0, COBIT 2019, ISO/IEC 38500
- Architecture: TOGAF 10, CMMI V2.0, ITIL 4
- Security: ISO 22301, NIST SP 800-34, OWASP Top 10 for LLM
- MLOps: MLflow, Kubeflow, MLOps.org best practices