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Update case-study-lettria-v2.md

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daniel-azoulai
2025-06-16 20:37:43 -07:00
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@@ -1,6 +1,6 @@
--- ---
draft: false draft: false
title: "Scaled Vector + Graph Retrieval: How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4j" 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." 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." 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 preview_image: /blog/case-study-lettria/social_preview_partnership-lettria.jpg
@@ -67,7 +67,7 @@ The challenge arises in concurrent environments where multiple ingest processes
*Pseudocode example: ingest_graph_attempt* *Pseudocode example: ingest_graph_attempt*
```py ```py
def ingest_graph_attempt(graph_data, qdrant, neo4j): def ing est_graph_attempt(graph_data, qdrant, neo4j):
""" """
Attempts to ingest graph data into Qdrant and Neo4j consistently. Attempts to ingest graph data into Qdrant and Neo4j consistently.
If Neo4j write fails, Qdrant changes are rolled back. If Neo4j write fails, Qdrant changes are rolled back.