Projects

Open-source frameworks, production implementations, and conceptual systems exploring modular AI architecture and evaluation-driven design.

RAG Foundry

Framework for building RAG systems with separated retrieval, ranking, and generation components, plus tools to measure quality across datasets.

Core Idea

Separate retrieval, orchestration, prompting, and evaluation into independent, testable modules

Architecture

Plugin-based retriever system with swappable vector stores and configurable chunking strategies

What You Can Reuse

Evaluation harness with dataset-driven metrics (GitHub template available)

PythonLangChainRAGEvaluation

Agiorcx Lib

Library that provides an execution layer for AI agents, with explicit control flow, error handling, and guardrails for production use.

Core Idea

Explicit control flow for agents with guardrails, rollback mechanisms, and execution logging

Architecture

State machine-based orchestration with pre/post execution hooks and audit trails

What You Can Reuse

Agent coordinator pattern with guardrails (library + examples)

PythonAgent OrchestrationControl FlowLLMs

Evallit

Evaluation toolkit for LLM and RAG systems that runs dataset-based checks, records metrics, and exposes hooks for monitoring and debugging.

Core Idea

Define test datasets upfront, run automated evaluation passes, track metric trends over iterations

Architecture

Pluggable metric system (ROUGE, semantic similarity, custom scorers) with experiment tracking

What You Can Reuse

Evaluation pipeline template with metric collectors and reporting dashboards

PythonLLM EvaluationMetricsObservability

LIA Swarm

Proof-of-concept multi-agent system that applies RAG Foundry design principles to coordinate agents across retrieval, reasoning, and response steps.

Core Idea

Demonstrate coordinated multi-agent workflows with shared context and structured communication protocols

Architecture

Message bus for agent communication with priority queuing and context inheritance

What You Can Reuse

Multi-agent coordination pattern with message schemas (reference implementation)

PythonMulti-AgentRAGCoordination

AI Engineering Hub

Open platform for production-first AI engineering guides, architectural patterns, and mentorship resources.

Core Idea

Curated guides on moving from prototype to production: observability, deployment, evaluation, scaling

Architecture

Decision trees for architecture choices (when to use RAG vs fine-tuning, agent patterns)

What You Can Reuse

Production readiness checklists and deployment templates (markdown guides + templates)

DocumentationArchitectureMentorshipBest Practices

Cordax

Concept for an observability and coordination intelligence layer for analyzing behavior in complex agentic systems.

Core Idea

Monitor agent interactions, detect coordination failures, surface behavioral anomalies in real-time

Architecture

Event-sourced architecture capturing all agent decisions, communications, and state transitions

What You Can Reuse

Conceptual framework for agent observability (design doc + architecture diagrams)

ObservabilityAgent AnalyticsCoordinationIntelligence