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: [ Ссылка ]
Github: [ Ссылка ]
GraphRAG flowchart: [ Ссылка ]
RAG flowchart: [ Ссылка ]
Community Creation: [ Ссылка ]
💻 RAG Beyond Basics Course:
[ Ссылка ]
Let's Connect:
🦾 Discord: [ Ссылка ]
☕ Buy me a Coffee: [ Ссылка ]
|🔴 Patreon: [ Ссылка ]
💼Consulting: [ Ссылка ]
📧 Business Contact: engineerprompt@gmail.com
Become Member: [ Ссылка ]
💻 Pre-configured localGPT VM: [ Ссылка ] (use Code: PromptEngineering for 50% off).
Signup for Newsletter, localgpt:
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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
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