RAGBuilder by Krux AI

Learn how RAGBuilder automatically optimizes chunking, embedding models, and other RAG parameters, evaluates configurations on test data, and demonstrates its new SDK.

Overview

RAGBuilder is an open-source toolkit that helps you create optimal Production-ready RAG (Retrieval-Augmented-Generation) setup for your data automatically. By performing hyperparameter optimization on various RAG parameters (Eg: chunking strategy, chunk size, embedding models etc.), RAGBuilder evaluates these configurations against a test dataset to identify the best-performing setup for your data.

Links

https://github.com/kruxai/ragbuilder
A toolkit optimizing production-ready RAG setups via hyperparameter tuning for data.

Tech stack