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daniel-azoulai
2025-06-16 16:44:56 -07:00
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---
draft: false
title: "Scaled Vector + Graph Retrieval: How Lettria Unlocked 20%+ Accuracy Gains with Qdrant and Neo4j"
short_description: "Lettria increases accuracy by 20% by blending Qdrant's vector search and Neo4j's knowledge graphs."
title: "Scaled Vector + Graph Retrieval: How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4j"
short_description: "Lettria sees 20% accuracy increase by blending Qdrant's vector search and Neo4j's knowledge graphs."
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."
preview_image: /blog/case-study-lettria/social_preview_partnership-lettria.jpg
social_preview_image: /blog/case-study-lettria/social_preview_partnership-lettria.jpg