1Diagram the end-to-end GraphRAG pipeline from entity extraction, Leiden clustering, community summarization to Map-Reduce global search?
2Why does standard Vector RAG fail completely on dataset-wide global synthesis queries where GraphRAG excels?
3Explain why the Leiden community detection algorithm fixes Louvain's disconnected cluster pathologies in knowledge graph partitioning?
4How to optimize GraphRAG indexing costs using smaller extraction models, prompt compression, and prompt caching?
5How to combine Graph Traversal and Vector Retrieval into a hybrid search expansion pipeline in production?