GraphRAG is an open-source solution from Microsoft designed to enhance document understanding. It operates by indexing documents into smaller sub-documents, extracting entities and relationships to create a knowledge graph, and then structuring responses based on community detection. Though highly effective, running it on the OpenAI API, particularly GPT-4, can be costly, around $7 for a sample book. The setup involves creating a virtual environment, configuring necessary settings, and building the knowledge graph for querying.

4m read timeFrom pub.towardsai.net
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How GraphRAG WorksSetting Up GraphRAGThe Cost Factor: Is It Worth It?Ressources

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