FlashRank
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
FlashRank re-ranks retrieved passages with tiny cross-encoder models, sharply improving RAG answer quality at almost no cost.
From the README
- Pairwise / Pointwise rerankers. (Cross encoder based, i.e. Max tokens = 512)
- Listwise LLM based rerankers. (LLM based, i.e. Max tokens = 8192)
- See below for full list of supported models.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytimeLite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
FlashRank has 994 stars on GitHub. It has been forked 70 times. FlashRank is written mainly in Python. It has been in active development since 2023. FlashRank is available under the Apache-2.0 license. Its main topics are cross-encoder, full-text-search, hybrid-search, lexical-search.
Read the full guideWhat is FlashRank?
Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.
Is FlashRank open source?
FlashRank is an open-source project. It is released under the Apache-2.0 license.
Is FlashRank free?
Yes. FlashRank is free and open source — you can use, modify and self-host it.
What license does FlashRank use?
FlashRank is available under the Apache-2.0 license.
What language is FlashRank written in?
FlashRank is written mainly in Python.
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