The Categorizer
block streamlines the process of classifying text data into predefined categories using AI. This block is essential for transforming unstructured text into structured, actionable insights.
I/O | Feature | Type | Simple Explanation |
---|---|---|---|
input | categories | list | A list containing all the category names and their descriptions that will guide the AI in classifying input text. |
input | input | string | The actual text string that you wish to classify according to your predefined categories. |
input | include_justification | boolean | When enabled, it ensures that the categorization process also provides reasoning or explanation for its choices. |
input | model | selector | Specifies which LLM model to utilize for inference from the available supported models. |
input | cache_response | boolean | When activated, this feature stores previous AI responses and returns them if the inputs have not changed, saving time on subsequent calls. |
Consider how this block can enhance efficiency in diverse situations:
In summary, any scenario requiring enhanced organization of textual information can benefit greatly from utilizing the Categorizer
block!