Show HN: AutoRAG – AutoML tool for RAG. Find an optimal RAG pipeline

- Discovering the most effective RAG pipeline for your specific data and use case can be daunting. It requires experimenting with various RAG modules and configurations, which are both time-consuming and complex.<p>- AutoRAG addresses this challenge by automatically evaluating different combinations of RAG modules and their parameters. You don&#x27;t need to write implementation code yourself; everything is set up through a single YAML file.<p>- Our aim is to save you the hassle of continuously adapting to new RAG modules and configurations. Instead, you can focus on developing robust data for your RAG-based products.<p>- In our test using the Eli5 dataset, AutoRAG improved retrieval performance by 11% and generation performance by up to 22%.<p>Although AutoRAG is in its early stages, we are releasing it as open-source software, hoping it will be valuable to those involved in RAG pipeline development. We welcome any feedback, feature requests, bug reports, and more.<p>Plus, we really want to be one of the solutions that RAG developers share their own pipeline each other. Please feel free to share your works with others using AutoRAG.<p>Thank you:)