sem_search_fast
This is designed to allow for rapid semantic search.
It draws inspiration and code from Mathew Alexander's implementation here: https://towardsdatascience.com/billion-scale-semantic-similarity-search-with-faiss-sbert-c845614962e2
Metadata
Release files for sem-search 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sem_search-0.0.1.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sem_search-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / sem_search-0.0.1.tar.gz
| Download URL | sem_search-0.0.1.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
4ff3e130f9205af2ba677b4150ef27512945b8654c8008250937106a8bab379f
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BLAKE2b-256 checksum How to use checksums |
4394a1aa99df1c2c5803e55b96e3faf332f480b54ff681d5474464afc76a657a
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.3
|
Release files / sem_search-0.0.1-py3-none-any.whl
| Download URL | sem_search-0.0.1-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
26459760bbf1dbee045cb460745a30a75f2d07067e9e19c4d0891af865678228
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BLAKE2b-256 checksum How to use checksums |
c2e36e21cc49ff9b6b669aabd0cb22fe65ec0f1df2a9e9c6fc74cd3d80647bfb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.3
|