Explore a 32-minute video that introduces a new feature incorporating Neo4j knowledge graphs into Jar3d, an open-source AI agent. Learn how this integration enhances Jar3d's ability to perform long-running, research-intensive tasks requiring internet information. Discover the sophisticated AI engineering techniques used, including meta-prompting, RAG, and advanced prompt engineering orchestrated by LangGraph. Gain insights into why knowledge graphs are crucial, delve into the Python implementation, and witness a live demonstration of Jar3d's improved capabilities. Access additional resources, including consulting services, an AI Engineering course, GitHub repository, research paper, and Medium articles for further learning.
Overview
Syllabus
Introduction:
Why Knowledge Graphs?:
Python Implementation:
Jar3d Demo:
Taught by
Data Centric
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