Multi-Vector Retrieval Explained: Better Accuracy, More Complexity

Multi-vector retrieval can improve accuracy by storing multiple embeddings for different parts of a document. That means better matching for long or complex content. But the trade-off is clear: more storage, more indexing work, and more system complexity. Is the accuracy boost worth it?

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