Metadata-Version: 2.1
Name: nnext
Version: 0.0.42
Summary: Client library for the NNext Neural search engine
Home-page: https://nnext.io/docs/Python-22a9be22c5cf4869bda849e3f06c0993
Keywords: neural search,semantic,search,engine,client
Author: NNext Team
Author-email: team@nnext.ai
Requires-Python: >=3.7,<4.0
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Dist: betterproto (==2.0.0b4)
Requires-Dist: grpcio (>=1.46.0,<2.0.0)
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Project-URL: Repository, https://github.com/nnextai/pynnext
Description-Content-Type: text/markdown

# <a href="https://nnext.ai/"><img src="https://d3g1vr8yw3euzd.cloudfront.net/nnext-ultra-wide-tingle.png" alt="NNext Python Client"></a>

## About

The NNext Python Client.

NNext is a

* ⚡ blazingly fast
* 🔍 nearest-neighbors vector search engine

<a href="https://twitter.com/intent/follow?screen_name=nnextai"><img src="https://img.shields.io/badge/Follow-nnextai-blue.svg?style=flat&logo=twitter"></a>

[Installation](#installation) |  [Quick Start](#quick-start) | [Documentation](#documentation)

## Installation

To install the pynnext client, activate a virtual environment, and install via pip:

```zsh
pip install nnext
```

## Quick Start

Here's a quick example showcasing how you can create an index, insert vectors/documents and search among them via NNext.

Let's begin by installing the NNext server.

```zsh
nnclient = nnext.NNextClient(api_key="NNEXT_API_KEY")
```

## Documentation

More documentation is available here:

<a href="https://nnext.ai/docs" target="_blank" rel="noopener noreferrer"><img src="https://d3g1vr8yw3euzd.cloudfront.net/3.png" height="100"></a>

