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Dive deep into LangGraph, an agent framework from LangChain that enables the development of AI agents using graphs. Learn how to build a sophisticated AI research agent capable of producing in-depth reports on various topics through multiple steps. Explore the integration of GPT-4, Pinecone, LangGraph, arXiv, and Google via SerpAPI to create a powerful research tool. Gain insights into the evolution of AI agents, understand the concept of agents as graphs, and master the components of a research agent. Follow along as the video guides you through building a RAG pipeline, implementing custom agent tools, and constructing the LangGraph graph. Witness the testing of the research agent and grasp the potential of agentic graphs in AI development. Perfect for developers and AI enthusiasts looking to enhance their skills in creating advanced, multi-step AI agents.
LangGraph Deep Dive: Building AI Research Agents with Graphs