@seekdb/bm25
The BM25 (Best Matching 25) embedding function is a sparse embedding implementation that uses the BM25 ranking algorithm to convert text into sparse vectors for efficient full-text search.
- Latest release
- Mar 26, 2026
- Releases
- 1
- Known CVEs
- 0
- First release
- Mar 26, 2026
- License
- —
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Source
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Packages from this repo
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Activity
- Total releases
- 1
- Last 12 months
- 1
- Cadence
- —
- Dependencies
- 4
Releases per month
last 12 monthsRelease mix
1
releases
Dependencies
Depends on
1.2.0-
seekdb
1.2.0
peer
-
@seekdb/common
1.2.0
peer
-
snowball-stemmers
^0.6.0
-
@types/snowball-stemmers
^0.6.2
Used by
Nothing tracked depends on this yet.
Releases
| Version | Released | |
|---|---|---|
1.2.0
initial
|