Practical AI: Machine Learning, Data Science, LLM

GraphRAG (beyond the hype)

Sep 25, 2024

55:04

Snipd AI

In this chat, Prashanth Rao, a seasoned expert in GraphRAG and practical graph data applications, takes us on an intriguing journey through the world of graph databases. He reveals how these databases, especially the Kuzu system, outperform traditional relational databases across various sectors, including healthcare and finance. The discussion dives deep into retrieval augmented generation (RAG) technologies, exploring the interplay between graph and vector databases and how this integration can revolutionize data retrieval. Get ready for some eye-opening insights!

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Quick takeaways

Graph databases like Kuzu outperform traditional relational databases by efficiently managing complex data relationships using nodes and edges.

Retrieval Augmented Generation (RAG) enhances natural language tasks through combined retriever and generator models, optimizing information retrieval accuracy.

GraphRAG innovatively combines graph structures with vector search methods to improve data retrieval contexts, thus enhancing the output quality of language models.

Deep dives

Flexibility and Advantages of Fly.io

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Embrace Control with Custom Models

01:18

Explicit Relationships Minimize Hallucinations

01:18

Graphs Illuminate Interconnected Data

01:32

Knowledge is Found in Practical Experience

01:38

Intro

5min

The Rise of Graph Databases

9min

Beyond Social Networks: Graph Databases Unleashed

7min

Advancements in Retrieval Augmented Generation

14min

Understanding the RAG Pipeline and API Development Tools

3min

Enhancing Data Retrieval with Graph and Vector Integration

15min

Exploring Kuzu and Engaging with Tech

2min

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 – Twitter, GitHub, LinkedIn, Website
Chris Benson – Twitter, GitHub, LinkedIn, Website
Daniel Whitenack – Twitter, GitHub, Website

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!

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