RAGLite – A Python package for the unhobbling of RAG
RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. RAG applications can be magical when they work well, but anyone who has built one knows how much the output quality depends on the quality of retrieval and augmentation. With RAGLite, we set out to unhobble RAG by mapping out all of its subproblems and implementing the best solutions to those subproblems. For example, RAGLite solves the chunking problem by partitioning documents in provably optimal level 4 semantic chunks. Another unique contribution is its optimal closed-form linear query adapter…
In plain words
RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. It addresses common retrieval and augmentation quality issues by breaking down RAG into subproblems and implementing targeted solutions. The package includes semantic document chunking using level 4 partitioning and an optimal query adapter based on orthogonal Procrustes mathematics. RAGLite is designed for developers building RAG systems who want to improve output quality through more sophisticated retrieval strategies.
written from the facts on this page · September 2026
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RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. RAG applications can be magical when they work well, but anyone who has built one knows how much the output quality depends on the quality of retrieval and augmentation. With RAGLite, we set out to unhobble RAG by mapping out all of its subproblems and implementing the best solutions to those subproblems. For example, RAGLite solves the chunking problem by partitioning documents in provably optimal level 4 semantic chunks. Another unique contribution is its optimal closed-form linear query adapter based on the solution to an orthogonal Procrustes problem. Check out the README for more features. We'd love to hear your feedback and suggestions, and are happy to answer any questions!
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