Quickest way to test naive RAG run with AutoRAG.
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Generate responses using text and images
Talk to a language model
Ask legal questions to get expert answers
customizable ChatBot API + UI
Chat with a helpful AI assistant in Chinese
Generate text and speech from audio input
Interact with Falcon-Chat for personalized conversations
This Chatbot for Regal Assistance!
Chat with different models using various approaches
ChatBot Qwen
Interact with an AI therapist that analyzes text and voice emotions, and responds with text-to-speech
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.