Multi Stage Rag Pipeline Evaluation With Pluggable Node Types

via “multi-stage rag pipeline evaluation with pluggable node types”

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

Unique: Implements a typed node architecture where each RAG pipeline stage (retrieval, reranking, filtering, etc.) is a distinct Node class with pluggable module implementations. Modules within a node are evaluated independently, and the best performer is selected per node, enabling fine-grained optimization of each pipeline stage.

vs others: More granular than monolithic RAG frameworks because each pipeline stage can be optimized independently; more structured than ad-hoc evaluation scripts because node types enforce consistent input/output contracts.