Quickest way to test naive RAG run with AutoRAG.
This is open-o1 demo with improved system prompt
Generate detailed, refined responses to user queries
Generate code and answers with chat instructions
Generate text based on user prompts
Bored with typical gramatical correct conversations?
Example on using Langfuse to trace Gradio applications.
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AutoRAG Optimization Web UI
This Chatbot for Regal Assistance!
Communicate with an AI assistant and convert text to speech
Generate chat responses from user input
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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.