nnext

About

The NNext Python Client.

NNext is a

⚡ blazingly fast
🔍 nearest-neighbors vector search engine

Installation | Quick Start | Documentation

Installation

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

Supported Python Versions

Python >= 3.7, < 3.11

Mac/Linux

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install nnext

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install nnext

Quick Start

In order start interacting with NNext, you need to obtain a client here https://console.nnext.ai/.

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 Connecting to NNext.

SELECT images.uid,
       images.name,
       images.vector < - > 'VECTOR(0.19, 0.81, 0.75, 0.11)'::vector AS dist
FROM nnext-public-data.images.laion
ORDER BY
    dist
    LIMIT 100

import nnext

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

# Perform a query.
QUERY = """
        SELECT images.uid, images.name,
          images.vector <-> 'VECTOR(0.19, 0.81, 0.75, 0.11)'::vector AS dist
        FROM nnext-public-data.images.laion
        ORDER BY
            dist
        LIMIT 100;
    """
query_job = nnclient.query(QUERY)  # API request
rows = query_job.result()  # Waits for query to finish

for row in rows:
    print(row.name)

Documentation

More documentation is available here here https://nnext.ai/docs.:

Metadata

Release files for nnext 0.0.43

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nnext 0.0.43
File	Size	Uploaded
nnext-0.0.43.tar.gz	48.8 kB	Feb 7, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for nnext 0.0.43
File	Interpreter	ABI	Platform	Reset
nnext-0.0.43-py3-none-any.whl 60.5 kB Feb 7, 2023	Python 3	none	any	Details

Total release size: 109.3 kB

Release files / nnext-0.0.43.tar.gz

Download URL	nnext-0.0.43.tar.gz
Size	48.8 kB
Tags	Source
SHA-256 checksum How to use checksums	`af47e9cdd6cc44a815943623ddf42c075993183797f0fa5c8a18079b7b21dc7b`
BLAKE2b-256 checksum How to use checksums	`2292e16e3f06320c17b6933b4bb01c3c700c44c4e26bf1e7a1f77c05baa943af`
Upload date	Feb 7, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.7`

Release files / nnext-0.0.43-py3-none-any.whl

Download URL	nnext-0.0.43-py3-none-any.whl
Size	60.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ac5475a9bd7f2f6a3fcc0bcc47464ab0855b18693e7b756d2ef5d0a7cd10af94`
BLAKE2b-256 checksum How to use checksums	`096f6ef79c49a2bfac8a7f319ca685373e8785d3a501de3432b6609b17086054`
Upload date	Feb 7, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.10.7`