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Update case-study-lettria-v2.md
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title: "Scaled Vector + Graph Retrieval: How Lettria Unlocked 20%+ Accuracy Gains with Qdrant and Neo4j"
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short_description: "Lettria increases accuracy by 20% by blending Qdrant's vector search and Neo4j's knowledge graphs."
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title: "Scaled Vector + Graph Retrieval: How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4j"
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short_description: "Lettria sees 20% accuracy increase by blending Qdrant's vector search and Neo4j's knowledge graphs."
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description: "Discover how Lettria combined Qdrant and Neo4j to overcome the accuracy limitations of traditional vector-only RAG systems, significantly boosting precision, explainability, and performance in regulated industries like pharma, legal, and aerospace."
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preview_image: /blog/case-study-lettria/social_preview_partnership-lettria.jpg
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social_preview_image: /blog/case-study-lettria/social_preview_partnership-lettria.jpg
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