ragthoven-dev/ragthoven
RAGthoven, a Retrieval Augmented Generation Toolkit that helps you easily set up and execute your RAG experiments
This tool helps machine learning engineers and researchers quickly set up and evaluate Retrieval Augmented Generation (RAG) experiments. You provide your datasets and configuration settings, and it benchmarks various RAG pipeline configurations. The output includes performance metrics and logs to help you track and reproduce your experiments efficiently.
Use this if you need to rapidly test different RAG architectures and evaluate their performance on specific NLP tasks without extensive manual setup.
Not ideal if you are looking for a simple chatbot or an off-the-shelf RAG application for end-users, as this is a developer-focused experimentation toolkit.
Stars
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Language
Python
License
MIT
Category
Last pushed
Mar 03, 2026
Commits (30d)
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