RAGBuilder

RAGBuilder is the automated toolkit for hyperparameter tuning and deploying optimal, production-ready Retrieval-Augmented Generation (RAG) pipelines.

RAGBuilder automates the complex, time-intensive process of RAG pipeline optimization. The tool efficiently identifies the best configuration for your data by performing hyperparameter tuning across granular parameters: chunking strategy (semantic, character), chunk size (e.g., 1000, 2000), embedding models, and retrievers. This process bypasses the manual testing of thousands of combinations—a toy example shows 78,125 distinct setups—by evaluating configurations against a test dataset for metrics like accuracy and latency. Utilize state-of-the-art, pre-defined RAG templates to accelerate development, ensuring a high-performance, production-grade RAG system is ready in minutes.

https://docs.ragbuilder.io/