Quickest way to test naive RAG run with AutoRAG.
Chat about images by uploading them and typing questions
Chat with a large AI model for complex queries
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
Marin kitagawa an AI chatbot
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Chat with Qwen2-72B-instruct using a system prompt
Compare chat responses from multiple models
Display chatbot leaderboard and stats
Reasoner
Chatgpt but free
Interact with PDFs using a chatbot that understands text and images
Chat with an AI that understands images and text
The Naive RAG Chatbot is a specialized AI-powered chatbot designed to quickly test and implement Retrieval-Augmented Generation (RAG) systems. It allows users to interact with a document-aware AI assistant by simply uploading files and engaging in conversation. This tool is ideal for those looking to efficiently explore RAG capabilities without complex setups, making it a straightforward solution for testing and development.
• Document Upload: Easily upload files for the AI to reference during conversations.
• Context-Aware Responses: The chatbot uses the uploaded documents to provide accurate and relevant answers.
• Simple Integration: Works seamlessly with AutoRAG, enabling quick deployment of RAG workflows.
• File Type Support: Accepts multiple file formats for document upload.
• User-Friendly Interface: Designed for ease of use, with a focus on simplicity and efficiency.
What does RAG stand for?
RAG stands for Retrieval-Augmented Generation, a technology that combines document retrieval with AI generation to improve response accuracy.
What file types are supported?
The Naive RAG Chatbot supports PDF, TXT, DOCX, and JSON formats for document uploads.
Is there a limit to document size?
Yes, documents should be under 50MB to ensure optimal performance.