AutoRAG Optimization Web UI
Chat Long COT model that uses tags
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
Generate responses and perform tasks using AI
Interact with Falcon-Chat for personalized conversations
Generate responses in a chat with Qwen, a helpful assistant
Chat with content from any website
Uncesored
Generate code and answers with chat instructions
Generate detailed, refined responses to user queries
Communicate with a multimodal chatbot
Generate chat responses from user input
Generate conversational responses using text input
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.