Founding Architect @ DCYFR.AI

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A cyber architect with a passion for building secure and scalable web solutions that empower others to innovate with confidence.

Who is Drew (dcyfr)?

RAG (Retrieval-Augmented Generation) framework for Node.js and TypeScript offers a robust solution for building production-ready RAG systems. This framework supports document loading, embedding, vector stores, and semantic search, making it ideal for developers looking to implement advanced retrieval systems. Key features include:<ul><li>📄 Document Loaders - Load text, markdown, and HTML documents.</li><li>🔢 Embeddings - Generate vector embeddings with pluggable providers.</li><li>🗄️ Vector Stores - In-memory storage with cosine similarity search.</li><li>🔍 Semantic retrieval - Find relevant documents by meaning, not just keywords.</li><li>🎯 Metadata Filtering - Filter results by custom metadata.</li><li>⚡ Batch Processing - Efficient ingestion with progress tracking.</li><li>📊 Built-in Examples - Complete RAG workflows ready to run.</li></ul>Installation is straightforward with npm, and optional dependencies like OpenAI and ChromaDB enhance functionality for production environments. The framework is open source under the MIT license, encouraging community contributions and enhancements.

DCYFR AI RAG framework

Portable AI Agent Framework offers a robust plugin architecture designed for seamless integration with multiple AI providers. This framework supports Claude, Copilot, Groq, Ollama, OpenAI, and Anthropic, providing a versatile solution for managing AI interactions. Key features include an extensible validation system with custom agents, a comprehensive telemetry system for tracking usage, costs, and performance metrics, and a configuration system supporting YAML/JSON with a three-layer merge. The framework ensures quality compliance through a validation framework with parallel and serial execution options. It also offers pluggable storage solutions, including memory and file-based adapters, and is fully type-safe with TypeScript support and Zod validation. The lightweight design, with a gzipped bundle size of approximately 200KB, ensures efficient deployment. CLI tools are available for configuration validation and initialization, enhancing ease of use.

DCYFR AI Agent Framework

DCYFR Labs is a virtual partnership dedicated to building secure, innovative solutions for the modern web. We focus on cyber architecture and design, helping organizations navigate the complex landscape of emerging technologies while maintaining robust security postures.<h3>Our Philosophy</h3>“Security isn't about saying no, it's about enabling innovation with confidence.”We believe in building resilient systems that empower teams to move fast without compromising on security. Our approach is practical, human-centric, and focused on real-world constraints rather than theoretical perfection.<h3>What We Focus On</h3>Development &amp; ArchitectureProduction-grade architecture decisions, server-first rendering, and building systems that scale. We share real experiences from real projects, complete with trade-offs and lessons learned.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline ml-1 underline underline-offset-4 decoration-skip-ink-none will-change-auto transition-theme active:opacity-70" href="https://www.dcyfr.ai/blog?category=Web">Explore development articles</a>Cybersecurity &amp; DefenseDefense-in-depth strategies, practical security hardening, and analysis of real threats and defenses. Security as an enabler, not a bottleneck.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline ml-1 underline underline-offset-4 decoration-skip-ink-none will-change-auto transition-theme active:opacity-70" href="https://www.dcyfr.ai/blog?category=DevSecOps">Explore security articles</a>AI &amp; AutomationAugmentation over replacement. We explore practical AI workflows, human-centric automation, and how AI can enhance (not replace) human expertise and creativity.<a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline ml-1 underline underline-offset-4 decoration-skip-ink-none will-change-auto transition-theme active:opacity-70" href="https://www.dcyfr.ai/blog?category=ai">Explore AI articles</a><h3>How We Work</h3><ul><li>Real projects, real constraints: We share from actual experience, not ivory tower theory</li><li>Practical over academic: Solutions that work in production matter more than perfect architecture diagrams</li><li>Transparent trade-offs: Every decision has costs—we discuss them openly</li><li>Open source contributions: We give back to the community that enables our work</li><li>Continuous learning: Technology evolves, and so do we</li></ul>Through our <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline underline underline-offset-4 decoration-skip-ink-none will-change-auto transition-theme active:opacity-70" href="https://www.dcyfr.ai/blog">blog</a> and <a target="_blank" rel="noopener noreferrer" class="break-all link-break text-gray-500 hover:underline underline underline-offset-4 decoration-skip-ink-none will-change-auto transition-theme active:opacity-70" href="https://www.dcyfr.ai/work">projects</a>, we share knowledge, insights, and practical guidance for building secure, scalable systems in the age of AI and cloud-native infrastructure.

Drew ✨

Founding Architect @ DCYFR.AI