GraphRAG Essential Training
git.ir
GraphRAG Essential Training
Learn how to build robust AI applications by creating knowledge graphs for retrieval-augmented generation (RAG) in Python using LangChain and Neo4j.
7 个月之前
Graph Rag Tutorial
GraphRAG：知识图谱 RAG、使用教程
GraphRAG：知识图谱 RAG、使用教程
lilys.ai
1 个月前
Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into struct
2:27
Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into struct
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Graph Rag Explanation
We're entering a new era where adding knowledge graphs to language models will unlock far better results for generative AI applications. 🌌 This approach, called GraphRAG, combines the structured knowledge of large language models with the contextual understanding provided by knowledge graphs. The blog provides a step-by-step guide to create GraphRAG. 🗝️ https://go.aws/40mGUtB | Amazon Web Services
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