Client library for the NNext Neural search engine
Project description
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.:
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nnext-0.0.43.tar.gz
(48.8 kB
view hashes)
Built Distribution
nnext-0.0.43-py3-none-any.whl
(60.5 kB
view hashes)