Graph Chat: Neo4j’s Philip Rathle on Neuro-symbolic AI and Infinigraph

Is the AI moment actually a Graph moment? In this chat, Amy Hodler (Founder of GraphGeeks) sits down with Philip Rathle, CTO of Neo4j, to discuss the massive shift in how enterprises are building AI.

In this interview, they dive into:

• Graph RAG vs. Vector Search: Why similarity search isn't enough for high-stakes enterprise problems and how Graph RAG provides the discernment LLMs lack.
• Neuro-symbolic AI: A look at the locus of reasoning and how combining non-deterministic models with deterministic graph data creates a gray box of explainability.
• The Memory Problem: Why agents need meta-knowledge and a long-term memory that doesn't involve shoving an entire company’s database into a model's context window.
• Neo4j’s Infinigraph: A peek at vertical sharding and how Neo4j is tackling 100-terabyte graphs.

More on Neo4j at https://neo4j.com/