GraphRAG: How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4j - Qdrant

Lettria's GraphRAG system integrates Qdrant with Neo4j for enhanced accuracy in complex document intelligence, achieving >20% accuracy gains by combining vector search with graph-based semantic understanding. Key technical challenges addressed include maintaining data consistency between Qdrant and Neo4j through a custom ingest transaction mechanism with snapshotting and conflict resolution, and optimizing query performance via payload flattening and disk-based caching for large-scale vector datasets (>100M vectors).