🎁 Free ResourcesAI/ML Infrastructure
Production-verified checklists, templates, and technical guides for implementing RAG systems, MLOps, and AWS cost optimization
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⭐ Featured Resources
Most downloaded guides and templates by our community
RAG Checklist 30 Points
Complete technical checklist for implementing RAG systems in production. Covers vector databases, LLM integration, caching, monitoring, and costs.
RAG Project Template
Architecture template and best practices for RAG projects. Includes system design, vectorization strategies, and deployment pipeline.
AWS Cost Optimization Checklist
40 verification points to reduce AWS costs. Compute, storage, database, networking, and monitoring. Applied in projects with 60-80% reduction.
OWASP LLM Top 10 Security Checklist
Complete security guide for AI Generative systems in production. Includes the 10 OWASP vulnerabilities, implementation code, testing procedures and compliance mapping (SOC 2, GDPR, HIPAA).
Kubernetes Production Readiness Checklist
50-point technical checklist for production-ready Kubernetes clusters. Includes Security & RBAC, High Availability, Resource Management, Networking, Storage, Observability with verified YAML examples.
LangGraph Multi-Agent Blueprint Library
5 production-ready blueprints for multi-agent systems with LangGraph. Includes Supervisor, Handoffs, Hierarchical, Pipeline and Custom Routing with complete Python code, state management, PostgreSQL checkpointing, HITL patterns and 30-point deployment checklist.
Cloud Cost Audit Template
Complete template for multi-cloud cost audit (AWS/Azure/GCP) in 7 days. Includes 40-point checklist, ROI calculators, automated analysis scripts and verified optimization strategies to reduce 30-70% your bill.
RAG Production Troubleshooting Guide
Complete debugging guide for RAG systems in production. Includes 15 common problems with symptoms, diagnostics, decision trees and solutions with code. RAGAS metrics, performance targets, 30-point production readiness checklist and verified tools stack 2026.
MLOps Production Checklist 50 Points
Complete checklist for ML deployment in production. Includes 50 verification points: CI/CD automation, monitoring & drift detection, model governance & compliance, security & access control, cost optimization. Verified tools stack 2026 (SageMaker, Azure ML, Vertex AI).
LLM Cost Optimization Calculator
Interactive tool to calculate how much you can save on your LLM APIs (GPT-4, Claude) with semantic caching, prompt compression and model cascading. Based on real 2026 case studies with verified 60-80% savings.
📚 All Resources
Complete collection of guides and templates
MLOps Readiness Assessment
25-point assessment to evaluate if your ML models are ready for production deployment. Covers infrastructure, monitoring, versioning, and CI/CD.
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