Project GraphRAG
Microsoft
Project GraphRAG
LLM-Derived Knowledge Graphs GraphRAG (Graphs + Retrieval Augmented Generation) is a technique for richly understanding text datasets by combining text extraction, network analysis, and LLM prompting and summarization into a single end-to-end system. GraphRAG and LazyGraphRAG technology is now available through Microsoft Discovery (opens in new ...
Apr 23, 2024
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Graph Paper Notebook
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GraphRAG Essential Training
GraphRAG Essential Training
git.ir7 months ago
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
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
Facebook6 months ago
Top videos
What is GraphRAG? | IBM
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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
0:11
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