A blazing-fast, lightweight in-memory vector database built in pure Python.
Project description
A blazing-fast, lightweight in-memory vector database built in pure Python and NumPy. Pinecone, Milvus, and Weaviate are incredible for enterprise-scale billions of vectors. But when you are building local AI apps, testing RAG pipelines, or running lightweight microservices, spinning up a massive cloud infrastructure is overkill. PadmaDB solves this by providing a hyper-fast, zero-dependency (beyond NumPy/FastAPI) vector search engine that runs locally and persists to disk.
Project details
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 padmadb-0.1.0.tar.gz.
File metadata
- Download URL: padmadb-0.1.0.tar.gz
- Upload date:
- Size: 4.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eb71c93d33b01c69cb44986c5c387efd3bbc74506746108d90d543dd2cf4e0b4
|
|
| MD5 |
57746a2ce2c415659be35da5c04c05f8
|
|
| BLAKE2b-256 |
46805beb6c2daaac6f59bd92ec6856d5ce5e147f4f473b5861f49ab2e1ebaf52
|
File details
Details for the file padmadb-0.1.0-py3-none-any.whl.
File metadata
- Download URL: padmadb-0.1.0-py3-none-any.whl
- Upload date:
- Size: 4.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c4b760c6c99baf4384d7871cc06f18b4b7b99aec79484fac6f64941c083bdbc8
|
|
| MD5 |
841bdf738bdad9d7108aa9f794ef8a1c
|
|
| BLAKE2b-256 |
7fe05c3e1aacc3d49cf8288bb5ea7f3fd730b896f882259a2e83134ad9627709
|