AutoRAG Optimization Web UI
Chat with an AI to solve complex problems
Qwen-2.5-72B on serverless inference
Bored with typical gramatical correct conversations?
Try HuggingChat to chat with AI
Engage in chat with Llama-2 7B model
Generate text based on user prompts
Interact with NCTC OSINT Agent for OSINT tasks
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Chat with an AI that understands images and text
Start a chat to get answers and explanations from a language model
Display chatbot leaderboard and stats
Run Llama,Qwen,Gemma,Mistral, any warm/cold LLM. No GPU req.
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.