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 ๐Ÿ’– by Pejman Ebrahimi