Stop Guessing Your RAG Hyperparameters: Why I Built a Local-First Benchmarking Framework

Developing production-ready Retrieval-Augmented Generation pipelines often involves tedious hyperparameter tuning. To address this, Muffakir was created as a local-first benchmarking framework to systematically measure changes in retrieval methods and Top-K values. Simultaneously, AnythingLLM offers a turnkey, local-first platform for enterprise-grade RAG and autonomous agents. By unifying document processing and vector search, it integrates with Ollama and vLLM, eliminating SaaS fees and data leak risks while enabling rapid deployment of context-aware assistants.