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RAGFreeOpen Source
RAGBUILDER
Toolkit for building and optimizing production RAG setups
Apache-2.0
ABOUT
Building a production RAG system involves costly trial and error — choosing the right chunking strategy, embedding model, vector store, retriever, and reranker requires extensive experimentation. RAGBuilder automates this process with component selection and hyperparameter optimization, delivering optimal RAG configurations with standardized evaluation.
INSTALL
pip install ragbuilderINTEGRATION GUIDE
1. Automatically select the best chunking, embedding, and retrieval strategy for your document corpus
2. Hyperparameter-optimize RAG pipeline components to maximize retrieval accuracy and answer quality
3. Evaluate and compare RAG configurations with standardized metrics before production deployment
TAGS
ragretrievalevaluationoptimizationpythonproduction