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Learn how to set up a local model using OLAMA and the Groq API for Project GraphRAG. We will also look at the limitation of using smaller local open weight models.
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
Ollama OpenAI API: https://ollama.com/blog/openai-compatibility
Groq API: https://console.groq.com/docs/openai
? RAG Beyond Basics Course:
https://prompt-s-site.thinkific.com/courses/rag
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TIMESTAMPS
00:00 Introduction to Project GraphRAG
00:30 Setting Up OLAMA and Choosing Models
01:14 Configuring GraphRAG with OLAMA
02:32 Using Groq API with GraphRAG
04:35 Running Local Indexing and Entity Extraction
07:15 Testing and Comparing Models
08:15 Importance of LLM Choice in GraphRAG
10:58 Optimizing Prompts for Different LLMs
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 Read More Prompt Engineering
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