Summary

Keywords

neo4j graph databases graphs LLM retrieval augmented generation RAG vector database vector search GenAI AI Artificial intelligence nodes25

Full Transcript

Yassir will introduce iText2KG, an open-source framework for incrementally constructing knowledge graphs from unstructured documents using LLMs. He will explain how iText2KG tackles this challenge through a modular pipeline that includes document distillation, incremental entity and relation extraction, and seamless integration with Neo4j for visualization and querying. You will learn how to leverage this pipeline to construct and update knowledge graphs in real time using your textual data. Yassir will also demonstrate techniques for minimizing LLM hallucinations by optimizing the structure and granularity of information passed to the model during graph construction. By the end of the session, you will gain practical skills to apply iText2KG across diverse real-world scenarios—from academic publications and CV parsing to building knowledge graphs from company websites, enabling you to generate dynamic, accurate, and queryable graphs from unstructured text sources. Speaker: Yassir Lairgi View Presentation: https://drive.google.com/file/d/1S9aGIY56AeE8cx5hc2QLh33pgpHj0Gq2/view?usp=drive_link Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph