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Correct default function documentation for connector blueprints (#5763)

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* Correct default function documentation for connector blueprints

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

* Fix link

Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>

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Signed-off-by: Fanit Kolchina <kolchfa@amazon.com>
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_ml-commons-plugin/remote-models/blueprints.md
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@ -93,12 +93,14 @@ OpenSearch provides the following pre- and post-processing functions:
- OpenAI: `connector.pre_process.openai.embedding` and `connector.post_process.openai.embedding`
- Cohere: `connector.pre_process.cohere.embedding` and `connector.post_process.cohere.embedding`
- [Default](#default-pre--and-post-processing-functions) (for neural search): `connector.pre_process.default.embedding` and `connector.post_process.default.embedding`
- [Amazon SageMaker default functions for neural search](#amazon-sagemaker-default-pre--and-post-processing-functions-for-neural-search): `connector.pre_process.default.embedding` and `connector.post_process.default.embedding`
### Default pre- and post-processing functions
### Amazon SageMaker default pre- and post-processing functions for neural search
When you perform vector search using [neural search]({{site.url}}{{site.baseurl}}/search-plugins/neural-search/), the neural search request is routed first to ML Commons and then to the model. If the model is one of the [pretrained models provided by OpenSearch]({{site.url}}{{site.baseurl}}/ml-commons-plugin/pretrained-models/), it can parse the ML Commons request and return the response in the format that ML Commons expects. However, for a model hosted on an external platform, the expected format may be different from the ML Commons format. The default pre- and post-processing functions translate between the format that the model expects and the format that neural search expects.
For the default functions to be applied, the model input and output must be in the format described in the following sections.
#### Example request
The following example request creates a SageMaker text embedding connector and calls the default post-processing function: