EvalsOne

What is EvalsOne?

EvalsOne is a platform designed to streamline the process of prompt evaluation for generative AI applications. It provides a comprehensive suite of tools for iteratively developing and perfecting these applications, offering functionalities for evaluating LLM prompts, RAG flows, and AI agents. EvalsOne supports both rule-based and large language model-based evaluation methods, seamless integration of human evaluation, and various sample data preparation methods. It also offers extensive model and channel integration, along with customizable evaluation metrics.

How to use EvalsOne?

EvalsOne offers an intuitive interface for creating and organizing evaluation runs. Users can fork runs for quick iteration and in-depth analysis, compare template versions, and optimize prompts. The platform also provides clear and intuitive evaluation reports. Users can prepare evaluation samples using templates, variable value lists, OpenAI Evals samples, or by copying and pasting code from Playground. It supports various models and channels, including OpenAI, Claude, Gemini, Mistral, Azure, Bedrock, Hugging Face, Groq, Ollama, and API calls for local models, as well as integration with Agent orchestration tools like Coze, FastGPT, and Dify.

EvalsOne’s Core Features

Comprehensive evaluation of LLM prompts, RAG flows, and AI agents Automated evaluation using rules or large language models Seamless integration of human evaluation Multiple methods for preparing evaluation samples Extensive model and channel integration Customizable evaluation metrics

EvalsOne’s Use Cases

• Evaluating LLM prompts for accuracy and relevance
• Optimizing RAG flows for improved information retrieval
• Assessing the performance of AI agents in various tasks
• Improving the overall quality and reliability of generative AI applications