Generate answers from uploaded PDF
This is open-o1 demo with improved system prompt
Generate conversational responses using text input
Chat with images and text
Send messages to a WhatsApp-style chatbot
Advanced AI chatbot
Chatbot
Chat with Qwen2-72B-instruct using a system prompt
Chat with an AI to solve complex problems
Generate detailed, refined responses to user queries
llama.cpp server hosting a reasoning model CPU only.
Reasoner
RAG PDF is a cutting-edge chatbot application designed to generate answers from uploaded PDF documents. It leverages advanced AI technology to process and analyze the content of PDF files, enabling users to interact with the information seamlessly through a conversational interface. This tool is particularly useful for extracting insights, answering questions, and summarizing content from PDF documents efficiently.
Can RAG PDF handle large PDF files?
Yes, RAG PDF can process PDF files of various sizes, but performance may vary depending on the file size and complexity.
Does RAG PDF support multiple PDF uploads at once?
Yes, the application allows users to upload and cross-reference multiple PDF documents for comprehensive analysis.
How accurate are the answers generated by RAG PDF?
The accuracy of the answers depends on the clarity and relevance of the PDF content, as well as the quality of the prompts used.