Developer creates open-source framework to benchmark and optimize RAG systems.

A developer has built an open-source framework called Muffakir to address optimization challenges in Retrieval-Augmented Generation (RAG) systems. The tool provides a local dashboard for testing configurations like retrievers, rerankers, and prompts. It offers detailed execution traces for each test, tracking latency, cost, and answer quality. The framework aims to solve issues of visibility, experiment chaos, and reproducibility in RAG development. It is designed for developers who want to systematically improve their pipelines without relying on cloud platforms.