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

About this episode

The episode features a discussion with Sudhir Hasbe about the future of graph databases in AI and RAG.

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

People in this episode

Hosts: Sinan Ozdemir, Akshay Bhushan

Guest: Sudhir Hasbe

Topics covered

• graph databases
• Retrieval-Augmented Generation
• AI challenges
• cloud computing
• large language models
• big data

Keywords

• graph technology
• knowledge graphs
• AI
• data analytics
• scalable systems
• explainable AI
• secure systems

Mentioned in this episode

Organizations: Neo4j, Google

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