End-to-End-Agentic-Ai-Automation-Lab vs LangChainHandsOn

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

This repository is dedicated to learning and experimenting with LangChain. It contains hands-on examples, notes, and mini-projects that explore concepts like prompt engineering, LLM orchestration, RAG (Retrieval-Augmented Generation), agentic workflows, and tool integrations.

MCP Servers

MCP Servers

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Jupyter Notebook

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MIT

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