OmniSearch package
Project description
OmniSearch: Semantic & Visual Product Discovery
OmniSearch is an AI-powered e-commerce search engine using Vector Databases (Qdrant/Milvus) and HuggingFace Transformers to allow users to search via natural language or images.
Developed by Alireza Aminzadeh (@syeedalireza).
Architecture
- API: FastAPI
- Vector DB: Qdrant / Milvus
- AI Models: HuggingFace Transformers (Sentence-BERT, CLIP)
- Caching: Redis
(Technical implementation pending in next iteration)
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 syeedalireza_omnisearch-0.1.0.tar.gz.
File metadata
- Download URL: syeedalireza_omnisearch-0.1.0.tar.gz
- Upload date:
- Size: 1.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4d379a57717074195155a1de1b06d751f94821d9e4300f8981fb57c15efed757
|
|
| MD5 |
247fe86c673477ba5cc936b725f6a999
|
|
| BLAKE2b-256 |
038c1c1dc18cc3b536f1011bd7621f49bb5072e653aec61b7e7c3244f87152b2
|
File details
Details for the file syeedalireza_omnisearch-0.1.0-py3-none-any.whl.
File metadata
- Download URL: syeedalireza_omnisearch-0.1.0-py3-none-any.whl
- Upload date:
- Size: 1.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8e19851d838e6290ef40786e2a445f32deecff722c9c0a8f9ecc01eb38d2847c
|
|
| MD5 |
19451e48c38446f0e1b4f53246a44437
|
|
| BLAKE2b-256 |
62b713dacfcf693f9a74d59196a82f97620938454358fc2c6cd004fd205abc90
|
