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14 changes: 12 additions & 2 deletions solutions/search/serverless-elasticsearch-get-started.md
Original file line number Diff line number Diff line change
Expand Up @@ -55,14 +55,24 @@ Use your {{ecloud}} account to create a fully-managed {{es}} project:
6. Once the project is ready, select **Continue**.

::::{tip}

**The General Purpose (GP) profile is recommended for most search use cases such as:**

- full text search
- sparse vector-based semantic search (such as when using ELSER)
- dense vectors compressed using BBQ (enabled by default)
- sparse vectors

**The Vector Optimized (VO) profile is recommended when your use case is based on:**

- uncompressed dense vectors with high dimensionality

Learn how billing works for your project in [Elasticsearch billing dimensions](../../deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md).

::::


Now your project is ready to start creating indices, adding data, and performing searches. You can choose one of the following options to proceed.


## Option 1: Follow the guided index flow [elasticsearch-follow-guided-index-flow]

Once your project is set up, you’ll be directed to a page where you can create your first index. An index is where documents are stored and organized, making it possible to search and retrieve data.
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25 changes: 25 additions & 0 deletions solutions/search/vector.md
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Expand Up @@ -46,3 +46,28 @@ The sparse vector approach uses the ELSER model to expand content with semantica
- Large-scale deployments

[Learn more about sparse vector search with ELSER](vector/sparse-vector.md).

## Choosing your project's profile
```{applies_to}
serverless:
```

When selecting a profile configuration for your project, it's recommended to consider your vector search use case.
You can choose between two profiles: the General Purpose profile and the Vector Optimized profile.

**The General Purpose (GP) profile is recommended for most search use cases, including:**

- full text search
- sparse vector-based semantic search (such as when using ELSER)
- dense vectors compressed using BBQ (enabled by default)
- sparse vectors

**The Vector Optimized (VO) profile is recommended when your use case is based on:**

- uncompressed dense vectors with high dimensionality

::::{tip}

Learn how billing works for your project in [Elasticsearch billing dimensions](../../deploy-manage/cloud-organization/billing/elasticsearch-billing-dimensions.md).

::::
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