Vidore-benchmark

Added

- Add support for BGE-M3 with ColBERT (multi-vector)

Changed

- set default batch_score in `evaluate_retriever

Fixed

- Add missing `torch.no_grad()`
- Fix wrong savepaths in CLI scripts
- Allow `image_util` paths for non-posix systems

Changed

- For all instances of VisionRetriever, the forward_queries and forward_documents methods now require a batch_size argument

Fixed

- Fix a bug for the retrieve_on_pdfs entrypoint script

Added

- Add evaluation scripts for the ViDoRe benchmark introduced in the "ColPali: Efficient Document Retrieval with Vision Language Models" paper.
- Add off-the-shelf retriever implementations from the ColPali paper: BGE-M3, BM25, Jina-CLIP, Nomic-Vision, SigLIP, and ColPali.
- Add code to generate similarity maps following the methodology introduced in the ColPali paper.
- Add entrypoint scripts: vidore-benchmark (evaluation scripts) and generate-similarity-maps (interpretability).

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