
Ragas provides a comprehensive framework for evaluating Retrieval-Augmented Generation (RAG) applications. Key features include:
Use cases include developing datasets for financial reports to evaluate LLM performance on information retrieval tasks. Ragas helps teams leverage their LLMs effectively, pushing the boundaries of what is possible in AI applications.
Streamline evaluation for LLM applications.
Open-source framework for evaluating AI workflows.
Build AI apps that deliver reliable answers.
Agentset helps developers create AI applications easily and efficiently.
Discover and compare top AI models.
A leaderboard for AI models based on intelligence and pricing.