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Use the `/settings` route to customize search settings for a given index. You can either modify all index settings at once using the [update settings endpoint](#update-settings), or use a child route to configure a single setting.
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@@ -127,7 +130,8 @@ By default, the settings object looks like this. All fields are modifiable.
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"prefixSearch": "indexingTime",
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"searchCutoffMs": null,
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"embedders": {},
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"chat": {}
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"chat": {},
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"vectorStore": "stable"
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}
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```
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"prefixSearch": "indexingTime",
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"searchCutoffMs": null,
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"embedders": {},
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"chat": {}
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"chat": {},
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"vectorStore": "stable"
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}
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```
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|**[`vector-store`](#vector-store)** <NoticeTagtype="experimental"label="experimental" /> | String |`"stable"`| Vector store used for AI-powered search |
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#### Example
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"chatCompletions": true
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}'
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```
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</Note>
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The chat settings allow you to configure how your index integrates with Meilisearch's conversational search feature.
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```
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You can use the returned `taskUid` to get more details on [the status of the task](/reference/api/tasks#get-one-task).
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## Vector store <NoticeTagtype="experimental"label="experimental" />
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<Note>
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This is an experimental feature. On Meilisearch Cloud, contact support to activate it. On OSS, use the experimental features endpoint:
When switching between vector stores, Meilisearch must convert all vector data for use with the new backend. This operation may take a significant amount of time in existing indexes. If a conversion is taking too long, create a new empty index, set its store to `experimental`, and add your documents.
Reset an index's vector store to its default settings.
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If you had set `vectorStore` to anything other than the default value, resetting triggers a convertion operation. This operation may take a significant amount of time depending on the size of the index.
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