AI-powered embedding similarity search for documents
Project description
Magna
Magna uses Embedding-Similarity-Search, commonly used in LLMs, to search for text with a meaning similar to the user's query. Magna can return multiple documents with similar meanings to the query along with many other options for customizing the the response.
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
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 magna_search-1.0.1.tar.gz.
File metadata
- Download URL: magna_search-1.0.1.tar.gz
- Upload date:
- Size: 7.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
039fdf3fdfcb3197e7149288bfa94ee577c7c5acec8a01c06937d885018c27fd
|
|
| MD5 |
754e232ac8be99fb928e96f765c4dd85
|
|
| BLAKE2b-256 |
4af224739aebd2469207c9fac140194723a3935682e0c2767bd016cfb8e2f6b6
|
File details
Details for the file magna_search-1.0.1-py3-none-any.whl.
File metadata
- Download URL: magna_search-1.0.1-py3-none-any.whl
- Upload date:
- Size: 8.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.0.1 CPython/3.13.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
6b2305a546c8e1206fd1ce25f728e88ca345aa4660979c7789231ac38d6caae1
|
|
| MD5 |
2ac7c5b7772fe757ff21eb12fa33a61e
|
|
| BLAKE2b-256 |
18c420f50b0b0e1c08a869a25f416d2ad65cb55950c9c7d164bad2b9c4c9945f
|
