[docs] revision of the blog article about local search engines

The blog article 'Query your local search engines' has been renamed 'Local
Search Engines', revised and moved into admin's chapter 'Engine & Settings'.

Signed-off-by: Markus Heiser <markus.heiser@darmarit.de>

docs/admin/engines/index.rst

@@ -17,7 +17,6 @@ Engines & Settings
    private-engines
    recoll
    sql-engines
+   search-indexer-engines
    command-line-engines
    searx.engines.xpath
-
-

docs/admin/engines/search-indexer-engines.rst

@@ -0,0 +1,136 @@
+====================
+Local Search Engines
+====================
+
+.. sidebar:: further read
+
+   - `Comparison to alternatives
+     <https://docs.meilisearch.com/learn/what_is_meilisearch/comparison_to_alternatives.html>`_
+
+Administrators might find themselves wanting to integrate locally running search
+engines.  The following ones are supported for now:
+
+* `Elasticsearch`_
+* `Meilisearch`_
+* `Solr`_
+
+Each search engine is powerful, capable of full-text search.  All of the engines
+above are added to ``settings.yml`` just commented out, as you have to
+``base_url`` for all them.
+
+Please note that if you are not using HTTPS to access these engines, you have to enable
+HTTP requests by setting ``enable_http`` to ``True``.
+
+Futhermore, if you do not want to expose these engines on a public instance, you
+can still add them and limit the access by setting ``tokens`` as described in
+section :ref:`private engines`.
+
+.. _engine meilisearch:
+
+MeiliSearch
+===========
+
+.. sidebar:: info
+
+   - :origin:`meilisearch.py <searx/engines/meilisearch.py>`
+   - `MeiliSearch <https://www.meilisearch.com>`_
+   - `MeiliSearch Documentation <https://docs.meilisearch.com/>`_
+   - `Install MeiliSearch
+     <https://docs.meilisearch.com/learn/getting_started/installation.html>`_
+
+MeiliSearch_ is aimed at individuals and small companies.  It is designed for
+small-scale (less than 10 million documents) data collections.  E.g. it is great
+for storing web pages you have visited and searching in the contents later.
+
+The engine supports faceted search, so you can search in a subset of documents
+of the collection.  Furthermore, you can search in MeiliSearch_ instances that
+require authentication by setting ``auth_token``.
+
+Here is a simple example to query a Meilisearch instance:
+
+.. code:: yaml
+
+  - name: meilisearch
+    engine: meilisearch
+    shortcut: mes
+    base_url: http://localhost:7700
+    index: my-index
+    enable_http: true
+
+
+.. _engine elasticsearch:
+
+Elasticsearch
+=============
+
+.. sidebar:: info
+
+   - :origin:`elasticsearch.py <searx/engines/elasticsearch.py>`
+   - `Elasticsearch <https://www.elastic.co/elasticsearch/>`_
+   - `Elasticsearch Guide
+     <https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html>`_
+   - `Install Elasticsearch
+     <https://www.elastic.co/guide/en/elasticsearch/reference/current/install-elasticsearch.html>`_
+
+Elasticsearch_ supports numerous ways to query the data it is storing.  At the
+moment the engine supports the most popular search methods (``query_type``):
+
+- ``match``,
+- ``simple_query_string``,
+- ``term`` and
+- ``terms``.
+
+If none of the methods fit your use case, you can select ``custom`` query type
+and provide the JSON payload to submit to Elasticsearch in
+``custom_query_json``.
+
+The following is an example configuration for an Elasticsearch_ instance with
+authentication configured to read from ``my-index`` index.
+
+.. code:: yaml
+
+  - name: elasticsearch
+    shortcut: es
+    engine: elasticsearch
+    base_url: http://localhost:9200
+    username: elastic
+    password: changeme
+    index: my-index
+    query_type: match
+    # custom_query_json: '{ ... }'
+    enable_http: true
+
+.. _engine solr:
+
+Solr
+====
+
+.. sidebar:: info
+
+   - :origin:`solr.py <searx/engines/solr.py>`
+   - `Solr <https://solr.apache.org>`_
+   - `Solr Resources <https://solr.apache.org/resources.html>`_
+   - `Install Solr <https://solr.apache.org/guide/installing-solr.html>`_
+
+Solr_ is a popular search engine based on Lucene, just like Elasticsearch_.  But
+instead of searching in indices, you can search in collections.
+
+This is an example configuration for searching in the collection
+``my-collection`` and get the results in ascending order.
+
+.. code:: yaml
+
+  - name: solr
+    engine: solr
+    shortcut: slr
+    base_url: http://localhost:8983
+    collection: my-collection
+    sort: asc
+    enable_http: true
+
+
+Acknowledgment
+==============
+
+This development was sponsored by `Search and Discovery Fund
+<https://nlnet.nl/discovery>`_ of `NLnet Foundation <https://nlnet.nl/>`_.

docs/blog/index.rst

@@ -7,4 +7,3 @@ Blog
    :caption: Contents
 
    lxcdev-202006
-   search-indexer-engines

docs/blog/search-indexer-engines.rst

@@ -1,114 +0,0 @@
-===============================
-Query your local search engines
-===============================
-
-From now on, searx lets you to query your locally running search engines. The following
-ones are supported now:
-
-* `Elasticsearch`_
-* `Meilisearch`_
-* `Solr`_
-
-All of the engines above are added to ``settings.yml`` just commented out, as you have to
-``base_url`` for all them.
-
-Please note that if you are not using HTTPS to access these engines, you have to enable
-HTTP requests by setting ``enable_http`` to ``True``.
-
-Futhermore, if you do not want to expose these engines on a public instance, you can
-still add them and limit the access by setting ``tokens`` as described in the `blog post about
-private engines`_.
-
-Configuring searx for search engines
-====================================
-
-Each search engine is powerful, capable of full-text search.
-
-Elasticsearch
--------------
-
-Elasticsearch supports numerous ways to query the data it is storing. At the moment
-the engine supports the most popular search methods: ``match``, ``simple_query_string``, ``term`` and ``terms``.
-
-If none of the methods fit your use case, you can select ``custom`` query type and provide the JSON payload
-searx has to submit to Elasticsearch in ``custom_query_json``.
-
-The following is an example configuration for an Elasticsearch instance with authentication
-configured to read from ``my-index`` index.
-
-.. code:: yaml
-
-  - name : elasticsearch
-    shortcut : es
-    engine : elasticsearch
-    base_url : http://localhost:9200
-    username : elastic
-    password : changeme
-    index : my-index
-    query_type : match
-    enable_http : True
-
-
-Meilisearch
------------
-
-This search engine is aimed at individuals and small companies. It is designed for
-small-scale (less than 10 million documents) data collections. E.g. it is great for storing
-web pages you have visited and searching in the contents later.
-
-The engine supports faceted search, so you can search in a subset of documents of the collection.
-Futhermore, you can search in Meilisearch instances that require authentication by setting ``auth_token``.
-
-Here is a simple example to query a Meilisearch instance:
-
-.. code:: yaml
-
-  - name : meilisearch
-    engine : meilisearch
-    shortcut: mes
-    base_url : http://localhost:7700
-    index : my-index
-    enable_http: True
-
-
-Solr
-----
-
-Solr is a popular search engine based on Lucene, just like Elasticsearch.
-But instead of searching in indices, you can search in collections.
-
-This is an example configuration for searching in the collection ``my-collection`` and get
-the results in ascending order.
-
-.. code:: yaml
-
-  - name : solr
-    engine : solr
-    shortcut : slr
-    base_url : http://localhost:8983
-    collection : my-collection
-    sort : asc
-    enable_http : True
-
-
-Next steps
-==========
-
-The next step is to add support for various SQL databases.
-
-Acknowledgement
-===============
-
-This development was sponsored by `Search and Discovery Fund`_ of `NLnet Foundation`_ .
-
-.. _blog post about private engines: private-engines.html#private-engines
-.. _Elasticsearch: https://www.elastic.co/elasticsearch/
-.. _Meilisearch: https://www.meilisearch.com/
-.. _Solr: https://solr.apache.org/
-.. _Search and Discovery Fund: https://nlnet.nl/discovery
-.. _NLnet Foundation: https://nlnet.nl/
-
-
-| Happy hacking.
-| kvch // 2021.04.07 23:16
-