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# Multi-vector Document Retrieval
Colqwen2.5 V0.2
MIT
ColQwen2.5 is a visual retrieval model based on Qwen2.5-VL-3B-Instruct and the ColBERT strategy, focusing on efficiently indexing documents through visual features.
Text-to-Image English
C
vidore
22.31k
22
Colpali V1.3
MIT
ColPali is a visual retrieval model based on PaliGemma-3B and ColBERT strategy, designed for efficient indexing of document visual features
Text-to-Image English
C
vidore
96.60k
40
Colqwen2 V0.1
Apache-2.0
A visual retrieval model based on Qwen2-VL-2B-Instruct and ColBERT strategy, capable of efficiently indexing documents through visual features
Text-to-Image English
C
vidore
21.25k
170
Colpali
MIT
ColPali is a visual retrieval model based on PaliGemma-3B and ColBERT strategy, designed for efficient document indexing from visual features.
Text-to-Image English
C
vidore
12.88k
436
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