AutoRAG Optimization Web UI
Engage in conversation with GPT-4o Mini
Compare chat responses from multiple models
Generate text and speech from audio input
Communicate with an AI assistant and convert text to speech
Chat with Qwen2-72B-instruct using a system prompt
Generate text based on user prompts
Engage in conversations with a multilingual language model
Chat with an AI that solves complex problems
Vision Chatbot with ImgGen & Web Search - Runs on CPU
Generate conversational responses using text input
Engage in conversations with a smart AI assistant
Chat with GPT-4 using your API key
RAG Pipeline Optimization is a powerful tool designed to optimize and compare RAG (Retrieval-Augmented Generation) chat models. It provides an intuitive interface to streamline the process of running and evaluating RAG models using YAML and Parquet files. As part of the AutoRAG Optimization Web UI, this tool helps users refine their pipelines for better performance and accuracy.
What file formats does RAG Pipeline Optimization support?
RAG Pipeline Optimization supports YAML for configuration and Parquet for data handling and analysis.
How do I get started with RAG Pipeline Optimization?
Start by installing the AutoRAG Optimization Web UI, preparing your YAML and Parquet files, and following the step-by-step instructions in the interface.
Can I use RAG Pipeline Optimization for both small and large-scale models?
Yes, RAG Pipeline Optimization is designed to handle both small and large-scale RAG models, making it versatile for different use cases.