AutoRAG Optimization Web UI
Uncesored
Engage in intelligent chats using the NCTC OSINT AGENT
Google Gemini Playground | ReffidGPT Chat
Bored with typical gramatical correct conversations?
Start a debate with AI assistants
Generate conversational responses using text input
Chat with Qwen2-72B-instruct using a system prompt
Chat with PDF documents using AI
Chat with different models using various approaches
Chat with a helpful AI assistant in Chinese
Engage in chat conversations
Generate conversational responses to 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.