generative-ai vs End-to-End-Agentic-Ai-Automation-Lab
generative-ai: This repository serves as a comprehensive hub for end-to-end Generative AI learning, offering an extensive collection of documentation, learning roadmaps, and practical use cases. It covers core GenAI concepts, architectural patterns, cloud platform guides for AWS, Azure, and VertexAI, alongside various projects like RAG, Agentic AI, and conversational systems.; End-to-End-Agentic-Ai-Automation-Lab: This repository provides a comprehensive, hands-on project portfolio for end-to-end agentic AI automation, showcasing advanced implementations of multi-agent frameworks, RAG pipelines, and AI workflow automation. It is designed for developers interested in building, deploying, and managing intelligent AI agents at scale.
TL;DR
Develop Retrieval-Augmented Generation (RAG) systems
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