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Awesome-RAG

A list of recent developments in retrieval-augmented generation for large language models, tracking accepted papers by conference and year along with common evaluation datasets.

Awesome-RAG

Awesome-RAG tracks recent papers on retrieval-augmented generation for large language models, organized by top venues such as NeurIPS, EMNLP, ACL, ICML and ICLR and by year from 2018 through 2026, alongside a list of evaluation datasets commonly used in RAG research, such as HotpotQA, TriviaQA, PopQA and ASQA.

The repository's own maintainers note that it has not been actively maintained recently and that contributors interested in taking it over are welcome to get in touch; recent news entries still record newly accepted papers and related repositories from the maintainers.

More in RAG

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  • ai·rete·rag

    ai-rete-rag.com

    A platform that pairs a Rete rule engine with retrieval-augmented generation, so deterministic rules decide an outcome and grounded retrieval explains the decision in plain language.

  • Xtriever

    github.com

    A hybrid retrieval engine for retrieval-augmented generation, written in Rust to run on-device on a phone or a laptop, combining lexical BM25 search, dense embedding search, reciprocal-rank fusion and cross-encoder re-ranking with no server.

  • FileFlux

    github.com

    A .NET library that turns PDF, DOCX, HWP and other documents into optimized chunks for RAG systems, through a five-stage pipeline built on high-performance Rust FFI readers.