AutoRAG Optimization Web UI
Test interaction with a simple tool online
Generate chat responses from user input
Chat with different models using various approaches
Chat with an AI that solves complex problems
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Generate responses in a chat with Qwen, a helpful assistant
mistralai/Mistral-7B-Instruct-v0.3
Generate conversational responses using text input
Chat with PDF documents using AI
Chat with a Japanese language model
Generate text chat conversations using images and text prompts
Generate responses using text and images
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.