A flexible RAG (Retrieval-Augmented Generation) experimentation framework
Project description
RAG-select
A framework for experimenting with and optimizing Retrieval-Augmented Generation (RAG) pipeline architectures.
Overview
This package provides a framework for testing different RAG pipeline configurations and measuring their performance. It supports pluggable components for document ingestion, chunking strategies, and retrieval methods.
Features
- Modular Architecture: Pluggable components across the ingestion and retrieval stack with sample wrappers over top open-source component offerings.
- Experiment Pipeline: Generate and test all combinations of component variants
- LangChain Integration: RAGArtifact extends
BaseRetrieverfor seamless use with LangChain chains
Installation
pip install rag_select
License
MIT
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