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In modern healthcare support, it is crucial to quickly and accurately answer complex multi-step questions. Although the traditional search enhanced generation (RAG) method is effective, the introduction of GraphRAG has brought about a revolutionary change in this field. GraphRAG greatly improves the accuracy and process of answers by converting data into knowledge graphs and simplifies development and maintenance.
What is GraphRAG?
GraphRAG is based on traditional RAG to further process and analyze data. It not only converts external datasets (whether sorted or non-organized) into text blocks to store them in a support database, but also builds a knowledge graph by extracting entities and related information. This graph can connect different information nodes and reveal their relationships, thus providing richer and insightful answers.
How it works
Data processing: Starting with any form of data, this data is reorganized into text blocks and embedded into a support database.
Knowledge graph construction: Going further than traditional RAG, GraphRAG not only processes text, but also identifies entities in it (such as "immunologists", "healthcare companies") and their relationships to create a multi-system knowledge network.
Query and Response: When querying, GraphRAG not only searches for text blocks, but provides hierarchical answers through graph association. For example, when asked how to deal with the virus, GraphRAG has insight into the link between immunologists and healthcare company strategies, providing the context and relevance of the strategies.
Advantages of GraphRAG
Higher accuracy: GraphRAG can provide more accurate and comprehensive answers through the association of knowledge graphs.
Development and Maintenance Simplified: After the knowledge graph is established, updates and maintenance are more efficiently understood and maintained than traditional RAGs.
Governance and interpretability: GraphRAG provides better queryability, data traceability and access control, improving the level of data governance.
Practical application examples
Consider a scenario: a patient or service agency calls to ask how to deal with the new virus. Traditional RAGs may only provide basic information about virus testing, while GraphRAG can explain in detail the connection between immunologists and medical company strategies, providing comprehensive answers including vaccine development and herd immunity strategies.
