Connecting the Knowledge Ecosystem Founded in 2019 at Columbia University, The Knowledge Graphs Conference is emerging as the premiere source of learning around knowledge graph technologies. We believe knowledge graphs are an underutilized yet essential force for solving complex societal challenges like climate change, democratizing access to knowledge and opportunity, and capturing business value made possible by the AI revolution. KGC bridges the gap between industry, which is increasingly recognizing the necessity of integrated data, and academia, where semantic technologies have been developing for over twenty years. Our events, education, content, and community efforts facilitate meaningful exchange between diverse groups, and increase awareness, development and adoption of this powerful technology. Conference – bridging the gap between research and industry We organize workshops and tutorials to progress a number of Tech4Good themes, targeting objectives such as the United Nations Sustainable Development Goals and the development of a COVID-19 vaccine. At our most recent conference, 530 attendees participated, representing over thirty industries across forty-two countries. Speakers ranged from Bell Labs pioneer John Sowa to Morgan Stanley, AstraZeneca, and leading academics from Europe and USA. A variety of workshops and tutorials were also given, including several on tech4good themes–from the UN SDGs to personal health graphs and fake news. KGC Vision and Values Our goal is to build the community and become a leading source of learning around knowledge graphs. We will achieve this by engaging and convening industry leaders and innovators, across sectors. We will focus on the diversity of perspectives: Industry diversity Professional Diversity: Industry practitioners, Business Users, Faculty, Scientists, Students Gender & Age diversity Geographical diversity We will gather, share and publish content to increase learning. We will build the community online and in-person through our content, meetups and conferences.

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Using LLMs and Vectors for Knowledge Graph Creation and GraphRAG

1h 48m

"This hands on workshop will provide an introduction to knowledge graph creation from unstructured (e.g. text documents) and structured data (e.g. CSV tables), retrieval augmented generation with knowledge graphs: aka GraphRAG.

- Into to GraphRAG concepts
- Build a knowledge graph from unstructured and structured data employing an LLM and how ontologies/schemas can improve this
- Use Vector indexes and embeddings to perform similarity search within the graph
- Create vector, vector + Cypher, and text to Cypher retrievers
- Build a conversational agent using Neo4j, Python, and LangChain"

KGC 2026 Content Available Now!

Using LLMs and Vectors for Knowledge Graph Creation and GraphRAG

1h 48m

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