<ul><li>Agentic AI refers to autonomous systems built around large language models (LLMs) that can set goals, retrieve information, and accomplish complex tasks.</li><li>The key enabler of this capability is the use of Retrieval-Augmented Generation (RAG), which combines a retriever and generator to provide up-to-date, context-aware responses.</li><li>Popular engines and frameworks for Agentic AI include LangChain, LlamaIndex, OpenAI Assistant API, Auto-GPT/BabyAGI, and CrewAI/AgentVerse.</li><li>Benefits of Agentic AI include scalability, customization, automation, and 24/7 availability, while challenges include reliability, security, costs, and debugging.</li></ul>

Unleashing Agentic AI: How RAG and Modern Tools Are Powering Autonomous Intelligence”

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