Supercharged Retrieval with Agentic GraphRAG
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Stephen Chin
Neo4j
VP of Developer Relations
Alex Soto
Director of Developer Experience · Red Hat
Markus Eisele
Senior Principal Technical Marketing Manager · Red Hat
Using RAG is relatively simple, especially with libraries like LangChain4j, which provides modules for chunking, ingesting documents, and retrieving them from the vector store. However, getting satisfactory results may be more complicated. Hallucinations, inaccurate information, contradictory answers, invalid parsed data, or incomplete responses.
In this session, you’ll move your RAG knowledge to the next level using LangChain4j and Docling.
World Congress 2025
Stephen Chin
Neo4j
VP of Developer Relations
Julián Duque
Heroku
Principal Developer Advocate
Daniel Oh
Red Hat
Sr. Principal Developer Advocate
Kevin Dubois
Red Hat
Sr. Principal Developer Advocate
Andreas Kollegger
Neo4j
GenAI Lead for Developer Relations