Neo4j Live: Building Neo4j-Powered Applications with LLMs
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Live from NODES 2025 | Building Contextual Knowledge Graphs to Adapt, Evaluate, and Leverage LLMs
Chapters 8
- Play from Intro
- Play from Guest intros: Sid (DevRel APAC) & Ravi (Customer Solutions)
- Play from How the book came to be (GenAI + knowledge graphs)
- Play from Why think in graphs; LLMs + knowledge graphs explained
- Play from Data modeling tips & hybrid retrieval (vectors + graph)
- Play from Q&A: when Graph + LLM works (and when it doesn’t)
- Play from Reducing hallucinations: explainability, guardrails, feedback loops
- Play from Resources & wrap-up: Road to NODES, GraphAcademy, Aura Free
Join us for a live conversation with Ravindranatha Anthapu and Siddhant Agarwal, co-authors of Building Neo4j-Powered Applications with LLMs. Dive into the journey of crafting intelligent, graph-based AI systems grounded in Retrieval-Augmented Generation (RAG) and Neo4j knowledge graphs.
Explore how their book equips you with hands-on experience in combining vector search, Cypher modeling, Haystack integrations, and deployment on Google Cloud.
Guests: Ravi Anthapu & Siddhant Agarwal
Resources mentioned
GenAI & GraphRAGKnowledge graphs


