E17: Graph Databases Are the Future of RAG and AI with Sudhir Hasbe

Practically Intelligent por Sinan Ozdemir and Akshay Bhushan

Notas del episodio

Sinan and Akshay sit down with Sudhir Hasbe, Chief Product Officer at Neo4j and a leading expert in graph databases and analytics. Sudhir shares insights from his career, including his time leading Google's analytics product lines and managing multi-million dollar data and ML initiatives.

We explore why 2024 is a breakout year for graph databases and their role in Retrieval-Augmented Generation (RAG), diving into topics like:

- The history and evolution of graph technology and knowledge graphs

- Why knowledge graphs are vital for solving today’s complex AI challenges

- The trifecta of cloud computing, LLMs, and big data fueling graph RAG adoption

- Practical tips for building scalable, explainable, and secure graph RAG systems

Palabras clave
chatgptaiRAGGraphRAG