The Hidden Limits of Single Vector Embeddings in Retrieval

Embedding-based retrieval, often known as dense retrieval, has turn out to be the go-to methodology for contemporary techniques. Neural fashions map queries and paperwork to high-dimensional vectors (embeddings) and retrieve paperwork by nearest-neighbor similarity. However, current analysis exhibits a stunning weak spot: single-vector embeddings have a basic capability restrict. In quick, an embedding can solely signify a sure quantity […]

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