E17: Graph Databases Are the Future of RAG and AI with Sudhir Hasbe
No se pudo agregar al carrito
Solo puedes tener X títulos en el carrito para realizar el pago.
Add to Cart failed.
Por favor prueba de nuevo más tarde
Error al Agregar a Lista de Deseos.
Por favor prueba de nuevo más tarde
Error al eliminar de la lista de deseos.
Por favor prueba de nuevo más tarde
Error al añadir a tu biblioteca
Por favor intenta de nuevo
Error al seguir el podcast
Intenta nuevamente
Error al dejar de seguir el podcast
Intenta nuevamente
-
Narrado por:
-
De:
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
Todavía no hay opiniones