xhluca / bm25s
Fast BM25 search in Python, powered by Numpy and Numba
Why this job: matched by what the repo talks about: search, power, bm25, fast
What it does
Welcome to bm25s, a library that implements BM25 in Python, allowing you to rank documents based on a query. BM25 is a widely used ranking function used for text retrieval tasks, and is a core component of search services like Elasticsearch.
Get started
pip install bm25s- Maintenance
- Active
- Last commit 10 days ago
- Stars
- 1,823
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 0.3.16
- Released 15 days ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 8
- Last 90 days
- Issues
- 93% closed
- 5 still open
- Pull requests
- 76 merged
- 8 waiting
- Releases
- 61
- 23 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- bm25
- bm25-l
- bm25-plus
- lexical-search
- retrieval
- robertson
- search
- okapi-bm25
- rag
- information-retrieval
Project record
- JobRAG and search
- StatusListed
- Commits144
- Forks120
- Watching6
- Stars in 28 days+20
- CreatedApr 10, 2024
- First seen by usNov 7, 2026
- CheckedNov 12, 2026