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docs: move smart filter to be alphabetical (#8682)

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docs/docs/Components/components-processing.md
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@ -263,40 +263,6 @@ curl -X POST "http://localhost:7860/api/v1/webhook/YOUR_FLOW_ID" \
</details>
## Smart function
This component uses an LLM to generate a Lambda function for filtering or transforming structured data.
To use the **Smart function** component, you must connect it to a [Language Model](/components-models#language-model) component, which the component uses to generate a function based on the natural language instructions in the **Instructions** field.
This example gets JSON data from the `https://jsonplaceholder.typicode.com/users` API endpoint.
The **Instructions** field in the **Smart function** component specifies the task `extract emails`.
The connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data.
![](/img/component-lambda-filter.png)
<details>
<summary>Parameters</summary>
**Inputs**
| Name | Display Name | Info |
|------|--------------|------|
| data | Data | The structured data to filter or transform using a Lambda function. |
| llm | Language Model | The connection port for a [Model](/components-models) component. |
| filter_instruction | Instructions | The natural language instructions for how to filter or transform the data using a Lambda function, such as `Filter the data to only include items where the 'status' is 'active'`. |
| sample_size | Sample Size | For large datasets, the number of characters to sample from the dataset head and tail. |
| max_size | Max Size | The number of characters for the data to be considered "large", which triggers sampling by the `sample_size` value. |
**Outputs**
| Name | Display Name | Info |
|------|--------------|------|
| filtered_data | Filtered Data | The filtered or transformed [Data object](/concepts-objects#data-object). |
| dataframe | DataFrame | The filtered data as a [DataFrame](/concepts-objects#dataframe-object). |
</details>
## LLM router
This component routes requests to the most appropriate LLM based on OpenRouter model specifications.
@ -505,6 +471,40 @@ For `Message` inputs, the component can create:
</details>
## Smart function
This component uses an LLM to generate a Lambda function for filtering or transforming structured data.
To use the **Smart function** component, you must connect it to a [Language Model](/components-models#language-model) component, which the component uses to generate a function based on the natural language instructions in the **Instructions** field.
This example gets JSON data from the `https://jsonplaceholder.typicode.com/users` API endpoint.
The **Instructions** field in the **Smart function** component specifies the task `extract emails`.
The connected LLM creates a filter based on the instructions, and successfully extracts a list of email addresses from the JSON data.
![](/img/component-lambda-filter.png)
<details>
<summary>Parameters</summary>
**Inputs**
| Name | Display Name | Info |
|------|--------------|------|
| data | Data | The structured data to filter or transform using a Lambda function. |
| llm | Language Model | The connection port for a [Model](/components-models) component. |
| filter_instruction | Instructions | The natural language instructions for how to filter or transform the data using a Lambda function, such as `Filter the data to only include items where the 'status' is 'active'`. |
| sample_size | Sample Size | For large datasets, the number of characters to sample from the dataset head and tail. |
| max_size | Max Size | The number of characters for the data to be considered "large", which triggers sampling by the `sample_size` value. |
**Outputs**
| Name | Display Name | Info |
|------|--------------|------|
| filtered_data | Filtered Data | The filtered or transformed [Data object](/concepts-objects#data-object). |
| dataframe | DataFrame | The filtered data as a [DataFrame](/concepts-objects#dataframe-object). |
</details>
## Split text
This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases.