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- ====================
- 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``.
- Furthermore, 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/>`_.
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