aerospike-vector-search 4.2.0

Aerospike Vector Search Client Library for Python

Aerospike Vector Search Client Python

Python client for the 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.

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

Installing from Artifactory/Jfrog

The Aerospike Vector Search client is also available on our own Artifactory repository. To resolve the Artifactory client packages, pip install with the following command.

pip install aerospike-vector-search -i https://<jfrog-username>:<jfrog-access-token>@aerospike.jfrog.io/artifactory/api/pypi/ecosystem-python-dev-local/simple 

Note This project makes use of the warnings module to communicate deprecations and upcoming changes. Run your project with the -Wd Python flag or the PYTHONWARNINGS=default environment variable to display relevant warnings.

Building the client

Setup the 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 sample projects.