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