For quick semantic search
Project description
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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
sem_search-0.0.1.tar.gz
(3.3 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file sem_search-0.0.1.tar.gz.
File metadata
- Download URL: sem_search-0.0.1.tar.gz
- Upload date:
- Size: 3.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4ff3e130f9205af2ba677b4150ef27512945b8654c8008250937106a8bab379f
|
|
| MD5 |
5928f84d40a38c49e05df2cfd8f019e7
|
|
| BLAKE2b-256 |
4394a1aa99df1c2c5803e55b96e3faf332f480b54ff681d5474464afc76a657a
|
File details
Details for the file sem_search-0.0.1-py3-none-any.whl.
File metadata
- Download URL: sem_search-0.0.1-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26459760bbf1dbee045cb460745a30a75f2d07067e9e19c4d0891af865678228
|
|
| MD5 |
7bee30939955ec51e881d280c3a2b656
|
|
| BLAKE2b-256 |
c2e36e21cc49ff9b6b669aabd0cb22fe65ec0f1df2a9e9c6fc74cd3d80647bfb
|
