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Udemy - From Knowledge Graph Assistant to Agentic AI with LangGraph [TorrentX]

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1 file — 3.2 GB
From Knowledge Graph Assistant to Agentic AI with LangGraph https://WebToolTip.com Published 8/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 51m | Size: 3.19 GB Build enterprise-grade multi-agent AI systems using LangGraph, Knowledge Graphs, RAG, Neo4j, Human-in-the-Loop, Memory, What you'll learn Build a multi-agent AI Assistant using LangGraph with Planner, Ontology, Retrieval, Insight, and Response agents. Integrate Knowledge Graphs, GraphRAG, and LLMs to deliver accurate, explainable, and context-aware AI responses. Implement agent orchestration, memory, tool calling, and human-in-the-loop workflows for enterprise AI assistants. Monitor, trace, and evaluate AI agents using LangSmith to debug, optimize, and improve production-ready AI systems. Requirements Prior knowledge of Semantic Web or Knowledge Graphs is required. A willingness to learn Ontology Engineering and Semantic Web technologies based Agentic AI system A computer with at least 8 GB RAM (16 GB recommended) Advanced programming language in Python.

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