Talk by Andreas Kollegger on GraphRAG, knowledge graphs, and retrieval-augmented generation (RAG) within the GraphRAG track.

Tune in for live coverage from the AI Engineer World's Fair GraphRAG track, hosted by Neo4j, and get a front-row seat to what’s next in GenAI architecture. Discover how leading AI engineers are combining knowledge graphs with retrieval-augmented generation (RAG) to build scalable, accurate and explainable systems.

Highlights from the GraphRAG track: - GraphRAG uses knowledge graphs for structured reasoning and integrates facts to reduce hallucinations - Graph Analytics enriches data and improves retrieval/interpretation - GraphRAG outperforms vectors for complex data and powers smarter AI agents with memory/context - Learnings from building graphs\, using embeddings and employing hybrid Graph/Vector methods for practical GraphRAG

Guest: Andreas Kollegger AI Engineer World's Fair: https://www.ai.engineer/schedule

neo4j #graphdatabase #genai #graphrag #knowledgegraph

Tune in for live coverage from the AI Engineer World's Fair GraphRAG track, hosted by Neo4j, and get a front-row seat to what’s next in GenAI architecture. Discover how leading AI engineers are combining knowledge graphs with retrieval-augmented generation (RAG) to build scalable, accurate and explainable systems.

Highlights from the GraphRAG track: - GraphRAG uses knowledge graphs for structured reasoning and integrates facts to reduce hallucinations - Graph Analytics enriches data and improves retrieval/interpretation - GraphRAG outperforms vectors for complex data and powers smarter AI agents with memory/context - Learnings from building graphs\, using embeddings and employing hybrid Graph/Vector methods for practical GraphRAG

Guest: Andreas Kollegger AI Engineer World's Fair: https://www.ai.engineer/schedule

neo4j #graphdatabase #genai #graphrag #knowledgegraph

Tune in for live coverage from the AI Engineer World's Fair GraphRAG track, hosted by Neo4j, and get a front-row seat to what’s next in GenAI architecture. Discover how leading AI engineers are combining knowledge graphs with retrieval-augmented generation (RAG) to build scalable, accurate and explainable systems.

Highlights from the GraphRAG track: - GraphRAG uses knowledge graphs for structured reasoning and integrates facts to reduce hallucinations - Graph Analytics enriches data and improves retrieval/interpretation - GraphRAG outperforms vectors for complex data and powers smarter AI agents with memory/context - Learnings from building graphs\, using embeddings and employing hybrid Graph/Vector methods for practical GraphRAG

Guest: Andreas Kollegger AI Engineer World's Fair: https://www.ai.engineer/schedule

neo4j #graphdatabase #genai #graphrag #knowledgegraph