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guides/deployment/digitalocean.mdx

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### 7. Click on "Create Droplet"
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<Frame>
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<img src="/assets/images/digitalocean/01.create-droplet.png" alt="The 'Create Droplet' button" />
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<img src="/assets/images/digitalocean/create-droplet.png" alt="The 'Create Droplet' button" />
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</Frame>
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### 8. Test Meilisearch

guides/docker.mdx

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### Generating dumps and updating Meilisearch
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To export a dump, [use the create dump endpoint as described in our dumps guide](/learn/advanced/dumps). Once the task is complete, you can access the dump file in `/meili_data/dumps` inside the volume you passed with `-v`.
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To export a dump, [use the create dump endpoint as described in our dumps guide](/learn/data_backup/dumps). Once the task is complete, you can access the dump file in `/meili_data/dumps` inside the volume you passed with `-v`.
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To import a dump, use Meilisearch's `--import-dump` command-line option and specify the path to the dump file. Make sure the path points to a volume reachable by Docker:
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meilisearch --import-snapshot /meili_data/snapshots/data.ms.snapshot
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```
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Use snapshots for backup or when migrating data between two Meilisearch instances of the same version. [Read more about snapshots in our guide.](/learn/advanced/snapshots)
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Use snapshots for backup or when migrating data between two Meilisearch instances of the same version. [Read more about snapshots in our guide.](/learn/data_backup/snapshots)

guides/front_end/search_bar_for_docs.mdx

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This tutorial will guide you through the steps of building a relevant and powerful search bar for your documentation 🚀
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1. [Run a Meilisearch Instance](#run-a-meilisearch-instance)
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2. [Scrape your content](#scrape-your-content)
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3. [Integrate the Search Bar](#integrate-the-search-bar)
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- [Run a Meilisearch instance](#run-a-meilisearch-instance)
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- [Scrape your content](#scrape-your-content)
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- [Configuration file](#configuration-file)
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- [Run the scraper](#run-the-scraper)
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- [Integrate the search bar](#integrate-the-search-bar)
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- [For VuePress documentation sites](#for-vuepress-documentation-sites)
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- [For all kinds of documentation](#for-all-kinds-of-documentation)
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- [What's next?](#whats-next)
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## Run a Meilisearch instance
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## What's next?
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At this point, you should have a working search engine on your website, congrats! 🎉
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You can check [this tutorial](/guides/deployment/running_production) if you now want to run Meilisearch in production!
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You can check [this tutorial](/guides/running_production) if you now want to run Meilisearch in production!

guides/laravel_scout.mdx

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Read the [Meilisearch Cloud quick start](/learn/getting_started/cloud_quick_start).
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</Tip>
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If you prefer to self-host, read our guide for [running Meilisearch in production](/guides/deployment/running_production).
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If you prefer to self-host, read our guide for [running Meilisearch in production](/guides/running_production).
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## Making Eloquent models searchable
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guides/strapi_v4.mdx

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By clicking on the checkbox next to `restaurant`, the content-type is automatically indexed in Meilisearch.
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<img src="/assets/images/strapi-v4/add-collection-to-meilisearch.gif" alt="GIF showing the mouse clicking on 'restaurant' in the Meilisearch collections tab" />
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<img src="/assets/images/strapi-v4/strapi-add-collection-to-meilisearch.gif" alt="GIF showing the mouse clicking on 'restaurant' in the Meilisearch collections tab" />
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The word “Hooked” appears when you click on the `restaurant`'s checkbox in the `Collections` tab. This means that each time you add, update or delete an entry in your restaurant content-types, Meilisearch is automatically updated.

home.mdx

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</Card>
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## Use cases
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## Use case demos
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Take at look at example applications built with Meilisearch.
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learn/ai_powered_search/choose_an_embedder.mdx

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<Note>
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Meilisearch Cloud does not support embedders with `{"source": "huggingFace"}`.
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To implement Hugging Face embedders in the Cloud, use [HuggingFace inference points with the REST embedder](/guides/ai/huggingface).
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To implement Hugging Face embedders in the Cloud, use [HuggingFace inference points with the REST embedder](/guides/embedders/huggingface).
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</Note>

learn/ai_powered_search/getting_started_with_ai_search.mdx

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Now you have a basic overview of the basic steps required for setting up and performing AI-powered searches, you might want to try and implement this feature in your own application.
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For practical information on implementing AI-powered search with other services, consult our [guides section](/guides/ai/openai). There you will find specific instructions for embedders such as [LangChain](/guides/ai/langchain) and [Cloudflare](/guides/ai/cloudflare).
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For practical information on implementing AI-powered search with other services, consult our [guides section](/guides/embedders/openai). There you will find specific instructions for embedders such as [LangChain](/guides/langchain) and [Cloudflare](/guides/embedders/cloudflare).
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For more in-depth information, consult the API reference for [embedder settings](/reference/api/settings#embedders) and [the `hybrid` search parameter](/reference/api/search#hybrid-search).

learn/ai_powered_search/retrieve_related_search_results.mdx

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## Create a new index
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Create an index called `movies` and add this <a href="/movies.json" download="movies.json">`movies.json`</a> dataset to it. If necessary, consult the [getting started](/learn/getting_started/cloud_quick_start) for more instructions on index creation.
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Create an index called `movies` and add this <a href="/assets/datasets/movies.json" download="movies.json">`movies.json`</a> dataset to it. If necessary, consult the [getting started](/learn/getting_started/cloud_quick_start) for more instructions on index creation.
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Each document in the dataset represents a single movie and has the following structure:
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learn/analytics/configure_analytics.mdx

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Meilisearch Cloud will begin processing your request. The "Analytics and monitoring" section will update when the feature is enabled.
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Activating analytics will automatically activate [monitoring](/learn/analytics/monitoring).
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Activating analytics will automatically activate [monitoring](/learn/analytics/configure_monitoring).
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</Note>
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## Update URLs in your application

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