Subscribe to the MongoDB for Developers YouTube Channel: https://www.youtube.com/@MongoDBDevelopers?sub_confirmation=1 Sign-up for a free cluster → https://www.mongodb.com/cloud/atlas/register Subscribe to MongoDB YouTube→ https://mdb.link/subscribe Most businesses are stuck in the chatbot era, but conversational AI is no longer the competitive edge. The true frontier of enterprise technology is agentic AI—systems that don’t just answer questions, but autonomously act and manage complex, multi-step workflows. In this video, we map out the technical evolution of AI across three distinct waves: from the built-in knowledge of Large Language Models (LLMs), to the context-rich retrieval-augmented generation (RAG), and finally to fully autonomous agentic systems. Discover the three core capabilities every enterprise agent requires—memory, intelligent semantic retrieval, and actionable integration—and see a real-world telecommunications example of how a data platform like MongoDB serves as the ultimate stateful backbone for high-volume unstructured data and vector searches. Chapters: 00:00:00 - The Evolution Past Chatbots 00:00:27 - The Three Waves of AI 00:00:52 - Wave 2: Retrieval Augmented Generation (RAG) 00:01:07 - Wave 3: Agentic Systems & Autonomous Action 00:01:52 - 3 Core Capabilities for Enterprise AI Agents 00:02:31 - Understanding Agent Short-Term & Long-Term Memory 00:02:55 - Intelligent Semantic Search & Context Retrieval 00:03:22 - Actionable Integration & Multi-Step Workflows 00:03:59 - Real-World Telco Example: Network Operations Agent 00:04:58 - Why the Database is a Stateful Backbone Visit Mongodb.com → https://mdb.link/MongoDB Read the MongoDB Blog → https://mdb.link/Blog Read the Developer Blog → https://mdb.link/developerblog MongoDB for Developers YouTube Channel → https://www.youtube.com/@MongoDBDevelopers

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