Method Drift›Retrieval-augmented generation
Superseded baseline#86 of 1,179 most-superseded
LlamaIndex
Retrieval-augmented generation
superseded — cited as a baseline and beaten by newer methods
3 papers critique it · 0 beat it on benchmarks
What papers say
Verbatim critique sentences, each from a paper that cites LlamaIndex as a baseline.
“While there are some existing RAG toolkits such as LangChain and LlamaIndex, they are typically complex and cumbersome, restricting researchers from tailoring processes to their specific needs.”
— FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research“Toolkits like LangChain and LlamaIndex, modularize the RAG process, increasing adaptability and broadening its applications. However, they are typically cumbersome, making adaptation to new data challenging and validating or optimizing innovative methods inconvenient.”
— XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation“LlamaIndex...offer generic off-the-shelf application modules for high-level RAG development tailored for production-ready applications. Furthermore, %but do not offer the necessary code flexibility of a research environment.”
— BERGEN: A Benchmarking Library for Retrieval-Augmented Generation
Newer alternatives
Recent methods in the same sub-problem, not yet superseded in the knowledge base.