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How to Build AI Agents (Part 2): Advanced RAG, Multi-Agent Systems & Deployment Welcome to Part 2 of our advanced course on building AI Agents. In this video, we move from single-agent fundamentals to complex, production-ready systems. We’ll master Retrieval-Augmented Generation (RAG), build multi-agent "teams," and cover the critical (and often-missed) topics of evaluation, deployment, and security. This is the deep dive you need to build scalable, robust, and state-of-the-art AI applications. 🔗 Watch Part 1 (Foundations & Prompting): https://youtu.be/wYy1taS-qpQ In this video, you will master: Module 5: Retrieval-Augmented Generation (RAG): Get a complete breakdown of the RAG pipeline, from chunking and embedding to indexing. We discuss how to choose the right vector database (like pgvector vs. Pinecone) and explore advanced techniques like hybrid queries, reranking, and Agentic RAG. Module 6: Multi-Agent Systems: Learn how to design "teams" of specialized agents. We cover coordination patterns like the Agent Supervisor, how to use workflows as tools, and the role of multi-agent standards like the A2A protocol. Module 7: Evaluation (Evals): How do you test something that's non-deterministic? We show you how to measure agent quality, covering textual evals for hallucination, faithfulness, and relevancy, as well as the importance of human-in-the-loop review and A/B testing. Module 8: Development, Deployment & Frontier Topics: Take your agent to production. We cover local development environments, the unique challenges of deploying long-running workloads, multimodal agents (image and voice), and the critical need for code generation safety and sandboxing. We'll conclude with what's next in the rapidly evolving world of AI. 🔔 Subscribe @TechMasteryGuru for more deep dives into AI engineering, generative AI, and LLM architecture! KEYWORDS: RAG, Retrieval-Augmented Generation, Multi-Agent Systems, AI Agent Deployment, AI Evaluation, AI Evals, Vector Database, Agentic RAG, AI Security, Multimodal AI, AI Code Generation, AI Agent Architecture, AI in Production, A2A Protocol, AI Supervisor, How to build AI agents, AI Engineering, Generative AI, LLM, AI tutorial. #RAG #MultiAgentSystems #AIArchitecture #AIEngineering #VectorDatabase #AI #techmasteryguru #agenticai #aiagents #ai