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.
Not yet testedsource: GitHubPythonApache-2.0commit 11f7a40d625f
Python, Apache-2.0 licensed. The project labels itself: cross encoder, full text search, hybrid search, lexical search, rag, ranking, reranking and retrieval augmented generation.
FlashRank has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
cross-encoderfull-text-searchhybrid-searchlexical-searchragrankingrerankingretrieval-augmented-generationsemantic-searchvector-databasevector-search
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/flashrank)Questions
- Does FlashRank run?
- FlashRank has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test FlashRank?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for FlashRank?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.