EPISODE · Feb 20, 2025 · 53 MIN
Graph for RAG, Networking and More
from DM Radio
How can we make AI models more reliable and accurate? Tune in to this episode of DM Radio as we explore Retrieval-Augmented Generation (RAG) and Graph RAG—two innovative approaches that keep large language models grounded, relevant, and free from hallucinations. Host Eric Kavanaugh welcomes Philip Rathle, CTO of Neo4j, and Jon Brewton, CEO of data², to discuss how knowledge graphs enhance AI's ability to deliver precise, explainable, and context-aware insights.
NOW PLAYING
Graph for RAG, Networking and More
0:00
53:01
1×
No transcript for this episode yet
Similar Episodes
Similar Podcasts
La Corrobra
Canal Extremadura
El espacio de la radio pública que pone en valor las lenguas autóctonas de Extremadura: el estremeñu, la fala y el portugués rayano.Con Juan Pedro Sánchez.
Radio Maria Kenya
Radio Maria Kenya
A Christian voice in Kenya and in the World
The Brackenfield Records
Anvil Audio Productions
An off-beat homage to classic radio detectives of the 1940s and '50s, The Brackenfield Records offers comforting genre fare, sitting somewhere between cosy and hard-boiled crime fiction.Whether it's dealing with unfaithful spouses, off-the-rails celebrities, crooked businesspeople, or gun-toting no-gooders, Brackenfield never falters!
DarkCompass
Hard Rock Hell Radio
DarkCompass brings you some of the best New Independent and Unsigned Music Every Week, from around the world.
Frequently Asked Questions
How long is this episode of DM Radio?
This episode is 53 minutes long.
When was this DM Radio episode published?
This episode was published on February 20, 2025.
What is this episode about?
How can we make AI models more reliable and accurate? Tune in to this episode of DM Radio as we explore Retrieval-Augmented Generation (RAG) and Graph RAG—two innovative approaches that keep large language models grounded, relevant, and free from...
Can I download this DM Radio episode?
Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!