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

<h3>Discover Insights on Cyber Architecture</h3>At DCYFR Labs, we delve into the intricacies of cyber architecture, coding, and security. Our platform offers a wealth of knowledge through our latest articles, projects, and innovative solutions. Whether you're interested in cybersecurity, artificial intelligence, or web development, DCYFR Labs provides valuable insights and practical code to enhance your understanding and skills.Key Features:<ul><li>Comprehensive articles on cyber architecture and security</li><li>Innovative projects showcasing the latest in AI and web development</li><li>Practical coding solutions for real-world applications</li><li>Insights into cloud security and risk management</li><li>Resources for compliance and incident response</li></ul>Join us at DCYFR Labs to stay ahead in the ever-evolving world of technology.

Drew ✨

Founding Architect @ DCYFR.AI