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한국어GraphRAG
Concept
GraphRAG is a retrieval-augmented generation technique from Microsoft Research that uses an LLM to extract a knowledge graph of entities and relationships from text and retrieves over that graph and its community summaries instead of flat text chunks.
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Articles about GraphRAG (4)
- Speed Up Your Business: The Power of AI-Driven Multi-Stage Approvals
· Mirko Peters
Welcome back to the podcast blog! If you have ever felt stuck in organizational gridlock, waiting days or even weeks for a simple sign-off, you are not alone. Tradi… - Beyond Chatbots: Why Enterprise Architecture Needs Graph-Powered AI Agents
· Mirko Peters
Welcome back to the podcast blog! Today, we are expanding on a critical shift happening across enterprise ecosystems. If you have been keeping up with our recent ep… - Simulating Success: How to Build a Synthetic Market for Microsoft 365 Strategy
· Mirko Peters
Welcome to our deep dive into the fascinating world of enterprise digital strategy. If you have ever rolled out a major change in Microsoft 365 only to watch adopti… - Simulating Success: How Synthetic Markets Transform Microsoft 365 Strategy
· Mirko Peters
When organizations look to overhaul or optimize their Microsoft 365 environments, they often face a daunting paradox. To innovate, you must make changes—yet m…
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Sources
- Profile: www.microsoft.com/en-us/research/project/graphrag
- Feed for this topic (RSS): entity/graphrag/feed.xml
- Articles on this topic: 4
Maintained by Mirko Peters (Microsoft MVP) · Last updated: