-
Currently, we use text embeddings. This is fine for textual documents, while it present obvious drawbacks for documents containing non-textual content (images, graphs, schemes, …).
An alternative, is…
-
### What happened?
I am trying to hit an embedding API via AsyncOpenAI. The following code works:
```python
client = AsyncOpenAI(base_url="http://localhost:7997", api_key="sk-infinity-svc")
…
-
Are there plans on supporting multimodal colbert models for built in inference?
-
Investigate and implementation of the usage of ColPali for Diff Assistant : [https://danielvanstrien.xyz/posts/post-with-code/colpali-qdrant/2024-10-02_using_colpali_with_qdrant.html](https://danielva…
-
- [ ] [vidore/colpali · Hugging Face](https://huggingface.co/vidore/colpali)
# ColPali: Visual Retriever based on PaliGemma-3B with ColBERT strategy
## Model Description
This model is built iterati…
-
I still don't know if the Colpali model is only contextual to each or all documents. If only contextual to each document, then we could integrate late chunking to maximize the ColPali performance. Cur…
-
Hey ...
it appears that the /recommend endpoint does not support 2D embedding vectors (which you get with late embedding models such as ColPali). At least that's how it is in the python client but I …
-
- [ ] [Vespa 🤝 ColPali: Efficient Document Retrieval with Vision Language Models — pyvespa documentation](https://pyvespa.readthedocs.io/en/latest/examples/colpali-document-retrieval-vision-language-m…
-
VisRAG show impressive performance compare with ColPali on several benchmark. Could you integrate it @bclavie
https://github.com/openbmb/visrag
-
Your work is impressive. When I **run the RAG.index() function in ColPali_+_Qwen2_VL.ipynb in Windows environment**, an error message "RuntimeError: Input type (torch.cuda.FloatTensor) and weight type…