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Copy file name to clipboardExpand all lines: guides/docker.mdx
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@@ -14,7 +14,7 @@ Docker is a tool that bundles applications into containers. Docker containers en
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Docker containers are distributed in images. To use Meilisearch, use the `docker pull` command to download a Meilisearch image:
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```sh
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docker pull getmeili/meilisearch:v1.13
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docker pull getmeili/meilisearch:v1.14
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```
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Meilisearch deploys a new Docker image with every release of the engine. Each image is tagged with the corresponding Meilisearch version, indicated in the above example by the text following the `:` symbol. You can see [the full list of available Meilisearch Docker images](https://hub.docker.com/r/getmeili/meilisearch/tags#!) on Docker Hub.
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docker run -it --rm \
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-p 7700:7700 \
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-v $(pwd)/meili_data:/meili_data \
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getmeili/meilisearch:v1.13
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getmeili/meilisearch:v1.14
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```
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### Configure Meilisearch
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-p 7700:7700 \
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-e MEILI_MASTER_KEY='MASTER_KEY'\
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-v $(pwd)/meili_data:/meili_data \
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getmeili/meilisearch:v1.13
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getmeili/meilisearch:v1.14
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```
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#### Passing instance options with CLI arguments
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docker run -it --rm \
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-p 7700:7700 \
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-v $(pwd)/meili_data:/meili_data \
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getmeili/meilisearch:v1.13 \
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getmeili/meilisearch:v1.14 \
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meilisearch --master-key="MASTER_KEY"
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```
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docker run -it --rm \
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-p 7700:7700 \
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-v $(pwd)/meili_data:/meili_data \
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getmeili/meilisearch:v1.13
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getmeili/meilisearch:v1.14
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```
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The example above uses `$(pwd)/meili_data`, which is a directory in the host machine. Depending on your OS, mounting volumes from the host to the container might result in performance loss and is only recommended when developing your application.
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Copy file name to clipboardExpand all lines: learn/resources/experimental_features_overview.mdx
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@@ -54,3 +54,5 @@ Activating or deactivating experimental features this way does not require you t
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|[Edit documents with function](/reference/api/documents#update-documents-with-function)| Use a RHAI function to edit documents directly in the Meilisearch database | API route |
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|[`/network` route](/reference/api/network)| Enable `/network` route | API route |
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|[Dumpless upgrade](/learn/self_hosted/configure_meilisearch_at_launch#dumpless-upgrade)| Upgrade Meilisearch without generating a dump | API route |
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|[Composite embedders](/reference/api/settings#composite-embedders)| Enable composite embedders | API route |
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|[Search query embedding cache](/learn/self_hosted/configure_meilisearch_at_launch#search-query-embedding-cache)| Enable a cache for search query embeddings | CLI flag or environment variable |
Copy file name to clipboardExpand all lines: learn/self_hosted/configure_meilisearch_at_launch.mdx
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@@ -393,6 +393,17 @@ Sets the maximum size of [accepted payloads](/learn/getting_started/documents#da
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Configure the maximum amount of simultaneous search requests. By default, Meilisearch queues up to 1000 search requests at any given moment. This limit exists to prevent Meilisearch from consuming an unbounded amount of RAM.
Sets the size of the search query embedding cache. By default, Meilisearch generates an embedding for every new search query. When this option is set to an integer bigger than 0, Meilisearch returns a previously generated embedding if it recently performed the same query.
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The least recently used entries are evicted first. Embedders with the same configuration share the same cache, even if they were declared in distinct indexes.
Copy file name to clipboardExpand all lines: learn/self_hosted/supported_os.mdx
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@@ -15,7 +15,7 @@ Use [Meilisearch Cloud](https://www.meilisearch.com/cloud?utm_campaign=oss&utm_s
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## Linux
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The Meilisearch binary works on all Linux distributions with `amd64/x86_64` or `aarch64/arm64` architecture using glibc 2.31 and later. You can check your glibc version using:
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The Meilisearch binary works on all Linux distributions with `amd64/x86_64` or `aarch64/arm64` architecture using glibc 2.35 and later. You can check your glibc version using:
Copy file name to clipboardExpand all lines: reference/api/batches.mdx
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@@ -26,7 +26,10 @@ The `/batches` route gives information about the progress of batches of [asynchr
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},
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"indexUids": {
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"INDEX_NAME": 1
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}
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},
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"progressTrace": { … },
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"writeChannelCongestion": { … },
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"internalDatabaseSizes": { … }
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},
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"duration": "PT0.250518S",
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"startedAt": "2024-12-10T15:20:30.18182Z",
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List of the number of tasks in the batch separated by the indexes they affect.
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#### `progressTrace`
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List with full paths for each operation performed in the batch, together with the processing time in human-readable format.
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#### `writeChannelCongestion`
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Object containing information on write operations computed during indexing. Can be useful when diagnosing performance issues associated with write speeds.
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#### `internalDatabaseSizes`
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Size of each internal database, including by how much it changed after a batch was processed.
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### `duration`
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**Type**: String<br />
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