AutoRAG Optimization Web UI
mistralai/Mistral-7B-Instruct-v0.3
Meta-Llama-3.1-8B-Instruct
Display chatbot leaderboard and stats
Generate chat responses from user input
Chat with AI with ⚡Lightning Speed
Chat with a Qwen AI assistant
Talk to a language model
Generate text responses in a chat interface
Generate chat responses using Llama-2 13B model
Interact with Falcon-Chat for personalized conversations
Select and chat with various advanced language models
Interact with an AI therapist that analyzes text and voice emotions, and responds with text-to-speech
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.