Quickest way to test naive RAG run with AutoRAG.
Generate code and answers with chat instructions
Communicate with a multimodal chatbot
Bored with typical gramatical correct conversations?
Chatbot
AutoRAG Optimization Web UI
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
Chat with a large AI model for complex queries
This is open-o1 demo with improved system prompt
Interact with an AI therapist that analyzes text and voice emotions, and responds with text-to-speech
Meta-Llama-3.1-8B-Instruct
Generate chat responses using Llama-2 13B model
Generate responses using text and images
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.