mirror of https://github.com/searxng/searxng.git
115 lines
3.3 KiB
ReStructuredText
115 lines
3.3 KiB
ReStructuredText
===============================
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Query your local search engines
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===============================
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From now on, searx lets you to query your locally running search engines. The following
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ones are supported now:
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* `Elasticsearch`_
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* `Meilisearch`_
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* `Solr`_
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All of the engines 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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Futhermore, if you do not want to expose these engines on a public instance, you can
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still add them and limit the access by setting ``tokens`` as described in the `blog post about
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private engines`_.
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Configuring searx for search engines
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====================================
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Each search engine is powerful, capable of full-text search.
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Elasticsearch
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-------------
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Elasticsearch supports numerous ways to query the data it is storing. At the moment
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the engine supports the most popular search methods: ``match``, ``simple_query_string``, ``term`` and ``terms``.
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If none of the methods fit your use case, you can select ``custom`` query type and provide the JSON payload
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searx has to submit to Elasticsearch in ``custom_query_json``.
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The following is an example configuration for an Elasticsearch instance with authentication
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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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enable_http : True
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Meilisearch
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-----------
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This search engine 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 for storing
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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 of the collection.
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Futhermore, you can search in Meilisearch instances that 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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Solr
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----
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Solr is a popular search engine based on Lucene, just like Elasticsearch.
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But instead of searching in indices, you can search in collections.
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This is an example configuration for searching in the collection ``my-collection`` and get
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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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Next steps
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==========
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The next step is to add support for various SQL databases.
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Acknowledgement
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===============
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This development was sponsored by `Search and Discovery Fund`_ of `NLnet Foundation`_ .
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.. _blog post about private engines: private-engines.html#private-engines
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.. _Elasticsearch: https://www.elastic.co/elasticsearch/
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.. _Meilisearch: https://www.meilisearch.com/
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.. _Solr: https://solr.apache.org/
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.. _Search and Discovery Fund: https://nlnet.nl/discovery
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.. _NLnet Foundation: https://nlnet.nl/
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| Happy hacking.
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| kvch // 2021.04.07 23:16
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