pydiskann
Python bindings for diskann-rs: memory-mapped Vamana/DiskANN vector search with filtered search, incremental updates and quantization (F16, Int8, PQ, RaBitQ).
uv add pydiskann
import pydiskann as d
idx = d.DiskANN.build(vectors, "index.db", metric="l2")
idx.search(query, k=10, beam_width=128)
Vectors are list[list[float]] (arr.tolist() for numpy). l2 returns squared distances.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
pydiskann-0.5.0.tar.gz
(117.6 kB
view details)
File details
Details for the file pydiskann-0.5.0.tar.gz.
File metadata
- Download URL: pydiskann-0.5.0.tar.gz
- Upload date:
- Size: 117.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
uv/0.11.31 {"installer":{"name":"uv","version":"0.11.31","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"22.04","id":"jammy","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b95bee52f5cb2c2bd64d08687212c801c08b1fd2c0292a9e0d70abed6fb98448
|
|
| MD5 |
aa8073eb04a6f9bac383e45cba5cff9c
|
|
| BLAKE2b-256 |
79e6e5533e8c1db8687d44c74d1d1bc4c6972fcfbffa8d5c6aedd7af89b49d90
|