LangGraph + Neo4j Crash Course for Beginners: AI Agent Development using Knowldege Graph | Hands-on! - Gen AI Engineering Roadmap: (RAG, Prompt Engineering, Finetuning & more techniques explained)

Watch these videos if you want to learn more: All Rag Methods: https://youtu.be/1sTOOEwb_4I?si=7O6BMiTzHY6vIJiC Graph RAG: https://youtu.be/2ZIyq3LmUB0?si=s7xTDg3F-WpXMIUr Light RAG: https://youtu.be/zR9I7aMI8vw?si=rSCpKou41NmLkoGb Agentic RAG: https://youtu.be/ecNJq3M1jJw?si=JRPpMS1MWL23Ne-5 Hybrid RAG: https://youtu.be/Xb_sIwlqZ0k?si=texzL9JeFlBn9WtH Agent Memory: https://youtu.be/LmVDUChGvXw?si=X_cwd2eNa0FjwJPt Agent Memory - Semantic memory: https://youtu.be/2FA4U6dmrLE?si=Rq1-OdJ7xVud3EGz Agent Memory - Episodic Memory: https://youtu.be/kciXbl6k70Q?si=fYNvE5pDbyB1Pkpr Frameworks - semantic kernel: https://youtu.be/w5X---PNA7Y?si=iyKTDzkuwJUbRDHf Protocols MCP: https://youtu.be/XvB7YSNelg8?si=6LjXhs4g37-i4Fbe Finetuning: - Repo: https://github.com/homayounsrp/Tool-Selection-LLM-Finetune-LoRA - Medium Article: https://homayounsrp.medium.com/fine-tuning-llm-with-lora-for-effective-tool-selection-in-ai-agents-bfba687c6da3 AI Frameworks & Tools: LangGraph - Build sophisticated AI agents with state management Google ADK - Leverage Google's AI development kit Semantic Kernel - Microsoft's framework for AI orchestration LlamaIndex - Data framework for LLM applications Essential Domain Knowledge: RAG (Retrieval-Augmented Generation) - Enhance AI with real-time data Prompt Engineering - Craft effective AI instructions Context Engineering - Optimize context windows for better results Agent Memory - Build AI systems that remember and learn Fine-Tuning - Customize models for specific use cases A2A Protocol - Agent-to-agent communication standards MCP (Model Context Protocol) - Standardized context management State Management - Handle complex AI application states Whether you're a complete beginner or looking to level up your AI skills, this roadmap gives you a clear path to success in 2025. 00:00 Intro 01:09 RAG 03:39 Prompt Engineering 06:24 Context Engineering 08:30 Agent Memory 09:37 Agent Protocols 10:28 Finetuning 12:46 Frameworks 14:53 Outro