Multimodal retrieval using llamaindex/vdr-2b-multi-v1
Employs Mistral OCR for transcribing historical data
中文Late Chunking Gradio服务
Search documents using text queries
Search... using text for relevant documents
Search documents using semantic queries
Search information in uploaded PDFs
Extract key entities from text queries
Spirit.AI
Query deep learning documents to get answers
Extract PDFs and chat to get insights
Process and extract text from images
Extract text from images using OCR
The Multimodal VDR Demo is an advanced AI tool designed to extract text from scanned documents using cutting-edge technology. It leverages the llamaindex/vdr-2b-multi-v1 model to enable multimodal retrieval, allowing users to search through documents not just by text but also by images. This innovative approach combines natural language processing (NLP) with computer vision to provide a robust and intuitive document analysis experience.
• Text Extraction: Accurately extract text from scanned documents, ensuring clarity and precision.
• Image Recognition: Identify and analyze images within documents, enabling multimodal search.
• Advanced Search: Combine text and image-based searches for more comprehensive results.
• Support for Multiple Formats: Process various document formats, including PDF, JPEG, and PNG.
• Integration Ready: Easily integrate with existing workflows for seamless document management.
1. What formats does the Multimodal VDR Demo support?
The demo supports PDF, JPEG, and PNG formats for document processing.
2. Can I integrate this tool with my existing software?
Yes, the Multimodal VDR Demo is designed to be integration-ready, allowing seamless compatibility with your current workflows.
3. How accurate is the image recognition feature?
The image recognition feature is highly accurate due to the advanced llamaindex/vdr-2b-multi-v1 model, but accuracy may vary based on the quality of scanned images.