fed-rag and rago
Fed-RAG provides fine-tuning capabilities for RAG systems while RAGO optimizes RAG configurations through automated experimentation, making them complementary tools that could be used together—fed-RAG to improve model quality and RAGO to discover optimal system parameters.
About fed-rag
VectorInstitute/fed-rag
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
Supports federated learning architectures alongside centralized setups, enabling distributed RAG fine-tuning across multiple clients. Integrates seamlessly with HuggingFace, LlamaIndex, and LangChain, providing state-of-the-art fine-tuning methods through lightweight abstractions that maintain full flexibility and control.
About rago
liebherr-aerospace/rago
RAGO (Retrieval Augmented Generation Optimizer) is a toolkit that automatically discovers the best configuration for your RAG system through smart experimentation
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