sem_search
This is designed to allow for rapid semantic search. It utilises Faiss to create an index for rapid search through embeddings. The library provides useful functions to preprocess data, create an index, retrieve data about datapoints corresponding to that index and search.
It draws inspiration and code from Mathew Alexander's implementation here:
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Release files for sem-search-fast 0.0.3
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_fast-0.0.3.tar.gz | 3.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sem_search_fast-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.1 kB
Release files / sem_search_fast-0.0.3.tar.gz
| Download URL | sem_search_fast-0.0.3.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / sem_search_fast-0.0.3-py3-none-any.whl
| Download URL | sem_search_fast-0.0.3-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/4.0.0 CPython/3.8.3
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