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microsoft/promptflow vs vibrantlabsai/ragas

Compare microsoft/promptflow and vibrantlabsai/ragas using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.

microsoft/promptflow

PromptFlow is a development framework that streamlines the lifecycle of LLM-based AI applications, from prototyping to production deployment. It enables developers to build executable flows combining LLMs, prompts, and Python code, while providing tools for debugging, evaluation, and deployment.

License
MIT
Deployment
Python environment
Use cases
Knowledge Q&A
Updated
2026-07-18T02:29:25Z

Original project link

vibrantlabsai/ragas

Ragas is a Python library that provides objective metrics, automated test dataset generation, and feedback loops for evaluating large language model (LLM) applications. It operates via a command-line interface and is installed locally, though its quickstart example requires an external OpenAI API connection and paid model for inference.

License
Apache-2.0
Deployment
Refer to project documentation
Use cases
AI engineers and developers who need to implement data-driven evaluation workflows for their LLM applications. · Teams looking to automate the generation of test datasets covering a wide range of scenarios using production data.
Updated
2026-07-16T23:40:15Z

Original project link

How to choose

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