Knowledge Base
Get started with workflows and code samples to build AI applications from the ground up
Multi-Agent Orchestration Pipeline
Build an end-to-end multi-agent system with coordinated planning, tool usage, and memory management. Includes supervisor, worker, and critic agent patterns with shared context.
Enterprise RAG with Guardrails
Retrieval-augmented generation pipeline with built-in safety guardrails, hallucination detection, and citation tracking. Supports multi-modal document ingestion and hybrid search.
Clinical AI Decision Support
Explainable AI framework for clinical decision support systems. Features SHAP-based explanations, regulatory compliance modules, and FHIR-compatible data pipelines.
Real-Time Object Detection Edge Pipeline
Deploy optimized computer vision models at the edge with TensorRT acceleration, video stream processing, and alert system integration for manufacturing and retail.
LLM Fine-Tuning & Distillation Workflow
Complete pipeline for domain-specific LLM fine-tuning using LoRA/QLoRA, knowledge distillation from teacher to student models, and automated evaluation benchmarks.
Agentic AI Security Standard (A2AS)
Security framework blueprint for agentic AI systems. Implements authentication, prompt injection prevention, model integrity verification, and continuous monitoring patterns.
MLOps CI/CD for Model Deployment
End-to-end MLOps pipeline with automated model training, validation, registry management, canary deployments, and A/B testing infrastructure on Kubernetes.
Conversational Voice Agent
Build natural voice-powered AI agents with speech-to-text, natural language understanding, dialogue management, and text-to-speech components with low-latency streaming.
Streaming Data to RAG Pipeline
Real-time data ingestion into RAG systems with Apache Kafka integration, incremental vector store updates, and freshness-aware retrieval ranking.
Edge AI Model Optimization Toolkit
Toolkit for optimizing AI models for edge deployment with quantization, pruning, knowledge distillation, and hardware-specific compilation for ARM, RISC-V, and GPU targets.
AI Transformation Maturity Assessment
Structured framework for evaluating and advancing organizational AI maturity across five stages — from ad-hoc experimentation to autonomous AI-native operations.
Medical Imaging Analysis Pipeline
End-to-end medical imaging pipeline with DICOM ingestion, pre-processing, model inference with confidence calibration, and PACS integration for radiology workflows.
Prompt Engineering Patterns
Master the art of effective AI prompting with structured patterns for chain-of-thought reasoning, few-shot learning, system prompts, and output formatting.
Vector Indexing & Semantic Search
Implement high-performance vector search and indexing with embedding models, approximate nearest neighbor algorithms, and hybrid search combining dense and sparse retrieval.
Model Context Protocol Integration
Standardized protocol for AI model communication enabling tool usage, context management, and seamless integration between LLMs and external services.
Feature Engineering Pipeline
Transform raw data into predictive power with automated feature extraction, selection, and engineering pipelines for tabular, text, and time-series data.
Context Engineering for AI Agents
Advanced context management for AI systems including agentic context engineering, memory architectures, state management, and context window optimization.
Enterprise LLM Applications
Build scalable enterprise language model applications with production-grade architectures for document processing, knowledge management, and conversational AI.
FTI Pipeline Pattern
Feature-Transform-Inference pipeline pattern for building reliable and reproducible ML workflows with clear separation of concerns and testable components.
Nuclear SMRs for AI Infrastructure
Explore small modular reactors as sustainable energy solutions for power-hungry AI data centers and MLOps infrastructure at scale.
Hierarchical Reasoning Models
Build AI systems with hierarchical reasoning capabilities using structured decomposition, multi-step inference, and compositional generalization techniques.
Chain of Thought Reasoning
Implement chain-of-thought prompting and reasoning chains for complex problem solving, mathematical reasoning, and multi-step logical inference.
AI Regulations & Compliance
Navigate the evolving landscape of AI regulations with compliance frameworks, audit trails, and governance patterns for responsible AI deployment.
Total Cost of Ownership Calculator
Calculate and optimize AI implementation costs across cloud, on-premises, and hybrid deployments with comprehensive TCO modeling and ROI analysis.
Multi-Modal AI Integration
Integrate text, image, and audio processing into unified AI pipelines with cross-modal attention, multi-modal embeddings, and fusion architectures.
NLP & Transformer Architectures
Deep dive into transformer-based NLP architectures including attention mechanisms, positional encodings, and modern variants for sequence modeling tasks.
Vibe Coding with AI
Leverage AI-assisted coding workflows for rapid prototyping, code generation, debugging, and pair programming with large language models.
Data Science Foundations
Foundational data science workflows covering exploratory data analysis, statistical modeling, hypothesis testing, and data visualization for AI projects.
AI Anti-Patterns Guide
Comprehensive guide to common AI anti-patterns across people, process, data, modeling, security, and deployment — learn what to avoid in your AI journey.
Research Papers & Industry Insights
Curated collection of key AI research papers with summaries, key findings, and practical implications for enterprise AI practitioners.
Accelerate Your AI Journey
These blueprints represent battle-tested architectures and workflows drawn from real-world enterprise AI deployments. Each blueprint is designed to accelerate your AI journey — from proof-of-concept to production — with best practices baked in.