About Multimodal RAG
Multimodal RAG (Retrieval-Augmented Generation) combines text and image processing to provide more context-aware responses. This demo uses:
- ColPali: A multimodal retriever for efficient information retrieval from images and text.
- Byaldi: A new library by answer.ai that simplifies the use of ColPali.
- Qwen/Qwen2-VL-2B-Instruct: A large language model capable of processing both text and visual inputs.
This combination allows for more accurate and context-aware responses to queries about uploaded PDFs.
LinkedIn |
GitHub |
Live demo of my PhD defense |
Qwen/Qwen2-VL-2B-Instruct |
Byaldi |
ColPali
Made with ๐ by Pejman Ebrahimi
Made with ๐ by Pejman Ebrahimi