Vectora AI
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Embed Everything into Embeddings
Recent Activity
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DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning
Paper • 2509.23883 • Published • 1 -
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
Paper • 2602.19549 • Published • 1 -
Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
Paper • 2604.10167 • Published -
MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework
Paper • 2606.07654 • Published
-
DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning
Paper • 2509.23883 • Published • 1 -
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework
Paper • 2602.19549 • Published • 1 -
Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval
Paper • 2604.10167 • Published -
MM-Matryoshka: Towards Budget-Elastic Visual Document Retrieval via a 2D Multimodal Matryoshka Training Framework
Paper • 2606.07654 • Published