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Retrieval-augmented generation

FastRAG

FastRAG: Retrieval Augmented Generation for Semi-structured Data

Superseded baseline#85 of 1,179 most-superseded · first seen Nov 21, 2024

Cited as a baseline — critiqued by newer work, not yet beaten on a benchmark here

3 papers critique it · 0 beat it on benchmarks

What papers say

Verbatim critique sentences, each from a paper that cites FastRAG as a baseline.

However, these toolkits generally do not cater to the needs of the research community. They often lack comprehensive implementations of existing RAG methods, do not provide access to commonly used retrieval corpora, and are typically heavy and overly encapsulated, which obscures details and complicates customization.
— FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research
“Nevertheless, FastRAG, RALLE, AutoRAG, and LocalRQA require users to reproduce published algorithms independently and offer limited component options, restricting the flexibility of RAG systems despite modular designs.”
— XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation
“LocalRAG, FastRAG, AutoRAG, and RALLE do not reproduce published algorithms.”
— RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

What to use instead

Recent methods in the same sub-problem, not yet superseded in the knowledge base — arXiv benchmark leaders, not vetted production recommendations.