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Are graph databases really relevant during retrieval? Does anyone use them to augment a vector store as a candidate source?

We're using in a large engineering use-case, 100s of millions of objects - and it almost doubled the nDCG@10 score vs pure vector search

This is quite significant. I suppose you did not use using the knowledge graph during training the embeddings?