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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> </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 ## LLM router
This component routes requests to the most appropriate LLM based on OpenRouter model specifications. 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> </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 ## 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. This component splits text into chunks based on specified criteria. It's ideal for chunking data to be tokenized and embedded into vector databases.