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.

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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.

152 stars.

No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

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Stars

152

Forks

47

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 11, 2026

Commits (30d)

0

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