Skip to main content

Aerospike Vector Search Client Library for Python

Project description

Aerospike Vector Search Client Python

Python client for Aerospike Vector Search Database

Prerequisites

  • Python 3.9 or higher
  • pip version 9.0.1 or higher
  • Aerospike Vector Search DB and Aerospike clusters running.

Using the client from your application using pip

To resolve the client packages using pip, add the following to $HOME/.pip/pip.conf

[global]
extra-index-url=https://<jfrog-username>:<jfrog-access-token>@aerospike.jfrog.io/artifactory/api/pypi/ecosystem-python-dev-local/simple 

Install the aerospike_vector_search using pip

python3 -m pip install aerospike-vector-search

Or

You can add the package name aerospike-vector-search to your application's requirements.txt and install all dependencies using

python3 -m pip install -r requirements.txt

Building the client

Setup build Python Virtual Environment

This is the recommended mode for building the python client.

# Create virtual environment to isolate dependencies.
python3 -m venv .venv
source .venv/bin/activate

Install requirements

python3 -m pip install -vvv  -r requirements.txt

Generate gRPC client code

# Generate the gRPC client code
./proto/codegen.sh

Build the package

python3 -m pip install build
python3 -m build

Examples

See examples for working samples.

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

aerospike_vector_search-3.0.1.tar.gz (45.5 kB view details)

Uploaded Source

Built Distribution

aerospike_vector_search-3.0.1-py3-none-any.whl (64.7 kB view details)

Uploaded Python 3

File details

Details for the file aerospike_vector_search-3.0.1.tar.gz.

File metadata

File hashes

Hashes for aerospike_vector_search-3.0.1.tar.gz
Algorithm Hash digest
SHA256 a777f04b2e50730a743ba25b8bb673c9026a6fbbfd935b62aca9825d5588518c
MD5 297500ed82aa8e87acb8a12419a8bb6d
BLAKE2b-256 4ce0c9773e9dfec72103b54fb472f05cd61361b1c4cea8f4a641eb9b939441c8

See more details on using hashes here.

File details

Details for the file aerospike_vector_search-3.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for aerospike_vector_search-3.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 5fe2600a1967b3fd086954aa1fe34c2bccc7dafa58ab2fe18c87bfc9bb26cc75
MD5 3e32da24033d79bb9cdd18b840c5ddad
BLAKE2b-256 5601e545d286a87f94f14b156b8cffa247ba449491bba231a15716438bcc3805

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page