Denis2054/Building-Business-Ready-Generative-AI-Systems
This GitHub repository contains the complete code for building Business-Ready Generative AI Systems (GenAISys) from scratch. It guides you through architecting and implementing advanced AI controllers, intelligent agents, and dynamic RAG frameworks. The projects demonstrate practical applications across various domains.
Implements tiered memory architecture (short-term, long-term, cross-session) with conversational agents and orchestrators that maintain contextual awareness across interactions. Covers multimodal capabilities including voice synthesis, image generation, and Chain-of-Thought reasoning for cross-domain automation, with extensible model integration supporting GPT-4o, DeepSeek-R1, and custom LLMs. Includes Pinecone-based dynamic RAG systems, real-time external data connections with security safeguards, and trajectory/mobility prediction for incomplete datasets—all deployable via Jupyter notebooks on Colab, Kaggle, and SageMaker Studio Lab.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 11, 2026
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