PrithivirajDamodaran / 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.
Why this job: topics: rag, retrieval-augmented-generation, vector-database, semantic-search, vector-search, hybrid-search
What it does
Ultra-lite & Super-fast Python library to add re-ranking to your existing search & retrieval pipelines. It is based on SoTA LLMs and cross-encoders, with gratitude to all the model owners.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 months ago
- Stars
- 1,014
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.2.9
- Released 23 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 0
- Last 90 days
- Issues
- 74% closed
- 8 still open
- Pull requests
- 6 merged
- 4 waiting
- Releases
- 3
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- cross-encoder
- full-text-search
- hybrid-search
- lexical-search
- rag
- ranking
- reranking
- retrieval-augmented-generation
- semantic-search
- vector-database
- vector-search
Project record
- JobRAG and search
- StatusListed
- Commits146
- Forks75
- Watching6
- Stars in 28 days+10
- CreatedDec 4, 2023
- First seen by usNov 7, 2026
- CheckedNov 7, 2026