Building-Business-Ready-Generative-AI-Systems and GenerativeAI

These appear to be ecosystem siblings; the first repository provides a comprehensive framework and codebase for building full-fledged generative AI systems, while the second repository offers a collection of individual generative AI projects, potentially serving as examples or smaller-scale implementations within the broader context provided by the first.

Maintenance 10/25
Adoption 10/25
Maturity 16/25
Community 22/25
Maintenance 10/25
Adoption 1/25
Maturity 1/25
Community 13/25
Stars: 152
Forks: 47
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License No Package No Dependents

About Building-Business-Ready-Generative-AI-Systems

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.

About GenerativeAI

mukul-mschauhan/GenerativeAI

This repository focuses on Generative AI Projects.

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