Build: merge main into elasticsearch-7x (#467)

.github/workflows/release.yml

@@ -1,9 +1,5 @@
 name: Release
 on:
-  push:
-    branches: 
-      - main
-
   workflow_dispatch:
 
 permissions:
@@ -22,9 +18,9 @@ jobs:
     steps:
       - name: Checkout
         uses: actions/checkout@v3
-      - uses: actions/setup-python@v2
+      - uses: actions/setup-python@v4
         with:
-          python-version: '3.7.5'
+          python-version: '3.7.15'
           cache: 'pip'
       - uses: arduino/setup-task@v1
         with:
@@ -64,9 +60,9 @@ jobs:
             ${{ github.workflow }}.${{ github.job }}
           path: |
             **/target/**/*
-      - uses: actions/setup-python@v2
+      - uses: actions/setup-python@v4
         with:
-          python-version: '3.7.5'
+          python-version: '3.7.15'
           cache: 'pip'
       - uses: actions/setup-java@v3
         with:

docs/pages/installation.md

@@ -6,28 +6,41 @@ permalink: /installation/
 classes: wide
 ---
 
-The Elastiknn plugin gets published as a zip file in a Github release. [The lastest release can be found here.](https://github.com/alexklibisz/elastiknn/releases/latest)
+## Overview
 
-To install it, copy the zip file URL and run `elasticsearch-plugin install <THE URL>` on each of your Elasticsearch nodes. 
+To install Elastiknn:
+
+1. Copy the zip file URL from an Elastiknn [Github release](https://github.com/alexklibisz/elastiknn/releases).
+2. Run `elasticsearch-plugin install <zip file URL>` on each Elasticsearch node. 
 
 ## Versions
 
+### Versioning Scheme
+
+Elasticsearch requires a new version of Elastiknn for every version of Elasticsearch.
+Because of this, Elastiknn's versioning scheme includes the Elasticsearch version, followed by an incrementing version denoting changes to Elastiknn.
+For example, Elastiknn versions `8.4.2.0` and `8.4.2.1` were the first and second releases of Elastiknn corresponding to Elasticsearch version 8.4.2.  
+
+Elastiknn's main branch and the documentation site stay up-to-date with the latest Elasticsearch version, currently 8.x.
+We maintain a second branch, [elasticsearch-7x](https://github.com/alexklibisz/elastiknn/tree/elasticsearch-7x), for Elasticsearch 7.x releases.
+
+### Elasticsearch 8.x
+
 |:--|:--|
 |Plugin Release| [![Plugin Release Status][Badge-Plugin-Release]][Link-Plugin-Release]|
 |Plugin Snapshot| [![Plugin Snapshot Status][Badge-Plugin-Snapshot]][Link-Plugin-Snapshot]|
 
 [Link-Plugin-Release]: https://github.com/alexklibisz/elastiknn/releases/latest
-[Link-Plugin-Snapshot]: https://github.com/alexklibisz/elastiknn/releases
-
 [Badge-Plugin-Release]: https://img.shields.io/github/v/release/alexklibisz/elastiknn?style=for-the-badge "Plugin Release"
-[Badge-Plugin-Snapshot]: https://img.shields.io/github/v/release/alexklibisz/elastiknn?include_prereleases&style=for-the-badge "Plugin Snapshot"
 
-**A caveat on versioning:** Elasticsearch requires that the plugin's Elasticsearch version matches the version on the node. For now I'm only releasing the plugin for a single Elasticsearch version. I'd like to eventually come back and implement releases for multiple versions.
+### Elasticsearch 7.x
+
+To find the latest 7.x release, please browse the [Github releases](https://github.com/alexklibisz/elastiknn/releases).
 
 ## Example Installation in a Docker Image
 
-Make a Dockerfile like below. The image version (`elasticsearch:A.B.C`) must match the plugin's version (e.g. `A.B.C.x/elastiknn-A.B.C.x`).
-`A.B.C` is the Elasticsearch version. `.x` just refers to an incremental version of Elastiknn on top of `A.B.C`.
+Make a Dockerfile like below. 
+The image version (`elasticsearch:A.B.C`) must match the plugin's version (e.g. `A.B.C.x/elastiknn-A.B.C.x`).
 
 ```docker
 FROM docker.elastic.co/elasticsearch/elasticsearch:7.17.8

docs/pages/libraries.md

@@ -10,6 +10,8 @@ toc_icon: cog
 
 ## Python client
 
+[elastiknn-client on pypi](https://pypi.org/project/elastiknn-client/)
+
 The Python client provides a pythonic interface for using Elastiknn.
 This includes a low level HTTP client as well as a higher level "model" that mimics the scikit-learn interface.