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Cleanup search connectors, add some reference -> docs content signposts in various sections
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docs/reference/data-analysis/text-analysis/index.md

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% TO-DO: Add links to "Data analysis basics"%
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:::{note}
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This section provides detailed **reference information**.
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Refer to [the text analysis overview](docs-content://manage-data/data-store/text-analysis.md) in the **Manage data** section for overview and conceptual information.
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:::
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This section contains reference information for text analysis components features, including:
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* [Analyzers](/reference/data-analysis/text-analysis/analyzer-reference.md)

docs/reference/ingestion-tools/search-connectors/api-tutorial.md

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---
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navigation_title: "API tutorial"
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applies_to:
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stack: ga
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serverless:
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elasticsearch: ga
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-connectors-tutorial-api.html
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docs/reference/ingestion-tools/search-connectors/connector-reference.md

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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-connectors-refs.html
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docs/reference/ingestion-tools/search-connectors/connectors-ui-in-kibana.md

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applies_to:
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elasticsearch: ga
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-connectors-usage.html
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-connectors-usage.html
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---
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# Connectors UI in Kibana [es-connectors-usage]
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# Connectors UI [es-connectors-usage]
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This document describes operations available to connectors using the UI.
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In the Kibana UI, navigate to **Search > Content > Connectors** from the main menu, or use the [global search field](docs-content://explore-analyze/query-filter/filtering.md#_finding_your_apps_and_objects). Here, you can view a summary of all your connectors and sync jobs, and to create new connectors.
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In the Kibana or Serverless UI, find Connectors using the [global search field](docs-content://explore-analyze/query-filter/filtering.md#_finding_your_apps_and_objects). Here, you can view a summary of all your connectors and sync jobs, and to create new connectors.
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::::{tip}
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In 8.12 we introduced a set of [Connector APIs](https://www.elastic.co/docs/api/doc/elasticsearch/group/endpoint-connector) to create and manage Elastic connectors and sync jobs, along with a [CLI tool](https://github.com/elastic/connectors/blob/main/docs/CLI.md). Use these tools if you’d like to work with connectors and sync jobs programmatically, without using the UI.

docs/reference/ingestion-tools/search-connectors/elastic-managed-connectors.md

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ess: discontinued 9.0.0
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-native-connectors.html
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docs/reference/ingestion-tools/search-connectors/es-connectors-apis.md

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elasticsearch: ga
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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-connectors-apis.html
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docs/reference/ingestion-tools/search-connectors/es-connectors-overview-architecture.md

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The following section provides a high-level overview of common architecture approaches for the internal knowledge search use case (AKA workplace search).
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## Hybrid architecture [es-connectors-overview-architecture-hybrid]
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$$$es-connectors-overview-architecture-hybrid$$$
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Data is synced to an Elastic Cloud deployment through managed connectors and/or self-managed connectors. A self-managed search application exposes the relevant data that your end users are authorized to see in a search experience.
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Summary:
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* The best combination in terms of flexibility and out-of-the box functionality
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* Integrates with Elastic Cloud hosted managed connectors to bring data to Elasticsearch with minimal operational overhead
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* Self-managed connectors allow enterprises to adhere to strict access policies when using firewalls that don’t allow incoming connections to data sources, while outgoing traffic is easier to control
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* Provides additional functionality available for self-managed connectors such as the [Extraction Service](/reference/ingestion-tools/search-connectors/es-connectors-content-extraction.md#es-connectors-content-extraction-local)
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* Basic functionality available for Standard licenses, advanced features for Platinum licenses
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The following diagram provides a high-level overview of the hybrid internal knowledge search architecture.
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:::{image} ../../../images/hybrid-architecture.png
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:alt: hybrid architecture
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:class: screenshot
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:::
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% ^^ discontinued 9.0.0
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## Self-managed architecture [es-connectors-overview-architecture-self-managed]

docs/reference/ingestion-tools/search-connectors/es-connectors-run-from-docker.md

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connectors:
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connector_id: <CONNECTOR_ID_FROM_KIBANA>
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service_type: Zoom # sharepoint_online (example)
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service_type: sharepoint_online # Example value — update this for service type you are connecting to
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api_key: <CONNECTOR_API_KEY_FROM_KIBANA> # Optional. If not provided, the connector will use the elasticsearch.api_key instead
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```
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docs/reference/ingestion-tools/search-connectors/index.md

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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-connectors.html
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- https://www.elastic.co/guide/en/serverless/current/elasticsearch-ingest-data-through-integrations-connector-client.html

docs/reference/ingestion-tools/search-connectors/self-managed-connectors.md

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- https://www.elastic.co/guide/en/elasticsearch/reference/current/es-build-connector.html
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