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Graph RAG: Improving RAG with Knowledge Graphs

2024-07-04 Science & Technology
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Prompt Engineering
Prompt Engineering
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Description

Discover Microsoft’s groundbreaking GraphRAG, an open-source system combining knowledge graphs with Retrieval Augmented Generation to improve query-focused summarization. I’ll guide you through setting it up on your local machine, demonstrate its functions, and evaluate its cost implications. LINKS: Graph RAG: https://tinyurl.com/y3f9cbnd Github: https://github.com/microsoft/graphrag GraphRAG flowchart: https://tinyurl.com/2s4ytcur RAG flowchart: https://tinyurl.com/56mwzkk7 Community Creation: https://tinyurl.com/54n88c2j 💻 RAG Beyond Basics Course: https://prompt-s-site.thinkific.com/courses/rag Let's Connect: 🦾 Discord: https://discord.com/invite/t4eYQRUcXB ☕ Buy me a Coffee: https://ko-fi.com/promptengineering |🔴 Patreon: https://www.patreon.com/PromptEngineering 💼Consulting: https://calendly.com/engineerprompt/consulting-call 📧 Business Contact: [email protected] Become Member: http://tinyurl.com/y5h28s6h 💻 Pre-configured localGPT VM: https://bit.ly/localGPT (use Code: PromptEngineering for 50% off). Signup for Newsletter, localgpt: https://tally.so/r/3y9bb0 00:00 Introduction to GraphRAG and Its Cost Issue 00:44 Understanding Traditional RAG 01:46 Limitations of Traditional RAG 02:22 Introduction to GraphRAG 02:39 Technical Details of GraphRAG 05:46 Setting Up GraphRAG on Your Local Machine 06:22 Running the Indexing Process 12:00 Running Queries with GraphRAG 14:26 Cost Implications and Alternatives All Interesting Videos: Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z

Top Comments (10)

@kennethpinpin9053 2024-07-05

Excellent concise introduction on GraphRAG and why, how, when it is needed. Please compare this with Neo4j and Llama Index.

21
@CollinParan 2024-07-04

Interested in the Neo4J version

15
@user-wr4yl7tx3w 2024-07-04

this looks great. yes, would be interested to compare against llamaindex.

14
@VivekHaldar 2024-07-04

Love the focus on cost tradeoff. Thanks!

10
@aa-xn5hc 2024-07-04

Great. Please more on this topic

10
@Independent_AI 2024-07-05

Great job. Please publish more videos about GraphRAG with other competitors.

2
@arcnaver 2026-01-08

The cost tradeoff was good to know.

2
@gthaker 2025-12-22

Thanks for the video. Can you update the video for RAG that involves more than just text? Also, a comparison of various graph RAG options would be welcome.

1
@jjperez2169 2025-12-07

Wonderful! I have a project in mind and this tool is perfect for it. I'm very interested in you doing a comparison with other packages, especially with Neo4J, which is being talked about so much.

0
@luciuswilberttjoa9046 2026-01-26

Thanks for showing the cost. Really useful!

0

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