GraphRAG (beyond the hype)

Practical AI

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about a year ago 55:02

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Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data.

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Featuring:

Prashanth Rao – Website, GitHub, LinkedIn, X
Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

Show Notes:

Kùzu: A highly scalable, extremely fast, easy-to-use embeddable, open source graph database: GitHub repo
The goals and vision of Kùzu: Blog post
Kùzu YouTube channel
Graph RAG strategies with Kùzu: GitHub repo
Prashanth Rao’s blog: thedataquarry.com

Something missing or broken? PRs welcome!

Chapters

1. Welcome to Practical AI (00:00:00)

2. Sponsor: Fly.io (00:00:35)

https://fly.io/

3. Welcome back Prashanth (00:03:49)

4. What are graphs? (00:08:41)

5. DB vs graph experience (00:10:05)

6. Data examples (00:13:31)

7. Sponsor: Assembly AI (00:18:15)

https://www.assemblyai.com/?utm_source=changelog&utm_medium=podcast

8. What is a RAG workflow? (00:20:45)

9. GraphRAG/NaiveRAG (00:24:07)

10. Hallucination risks (00:28:54)

11. Building the data side (00:30:54)

12. Sponsor: Speakeasy (00:35:35)

https://speakeasy.com/

13. Practical uses (00:36:38)

14. Graph construction (00:41:44)

15. Where is this headed? (00:47:26)

16. Thanks for joining us! (00:52:27)

17. Outro (00:53:57)

319 episodes

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Practical AI