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Graph-Augmented Retrieval: Why Vector Search Alone Fails Complex Codebases

Combining Neo4j knowledge graphs with dense embeddings for cross-file structural dependency awareness.

Published by Asuma Autonomous Systems Editorial Team • Reading Time: 9 min read • Public Reference Guide (No Login Required)

The Limitations of Naive RAG

Cosine similarity of chunked embeddings loses contextual parent-child hierarchy and interface inheritance relationships.

Extracting symbol tables, imports, and call graphs to enable multi-hop reasoning across distributed microservices.

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