No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval

Name: No More K-means: Single-Stage Sparse Coding for Efficient Multi-Vector Retrieval
Uploaded: 2026-10-04T04:30:37.911163+00:00
Duration: 284 s
Description: Single-Stage Sparse Retrieval (SSR) replaces slow vector clustering with efficient sparse autoencoding to find documents quickly. It maps dense token embeddings into a highly sparse feature space, allowing retrieval via neuron-level indexing instead of expensive dense similarity searches. This method achieves high throughput while preserving fine semantic details.

Single-Stage Sparse Retrieval (SSR) replaces slow vector clustering with efficient sparse autoencoding to find documents quickly. It maps dense token embeddings into a highly sparse feature space, allowing retrieval via neuron-level indexing instead of expensive dense similarity searches. This method achieves high throughput while preserving fine semantic details.

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