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Automate web data extraction with specified keywords for AI artists, supporting various devices and embedding models.
The check_web_tool
node is designed to search for information on a given webpage using specified keywords. This tool is particularly useful for AI artists who need to extract specific content from web pages efficiently. By leveraging this node, you can automate the process of searching and retrieving relevant data from URLs, which can be beneficial for gathering references, inspiration, or any other web-based information. The node is capable of handling different devices automatically, ensuring optimal performance regardless of the hardware setup. It also supports embedding models for enhanced search capabilities, making it a versatile tool for various web scraping and data extraction tasks.
chunk_size
determines the size of the chunks in which the webpage content will be divided for processing. This parameter impacts how the content is segmented and can affect the granularity of the search results. The default value is 200, which is a balanced setting for most use cases. Adjusting this value can help in fine-tuning the search process based on the specific requirements of the task.
chunk_overlap
specifies the amount of overlap between consecutive chunks of content. This helps in ensuring that important information that might span across chunks is not missed. The default value is 50, which provides a good balance between thoroughness and efficiency. Increasing this value can improve the accuracy of the search at the cost of additional processing time.
device
indicates the hardware on which the node will run. The options are "auto", "cuda", "mps", and "cpu". The default setting is "auto", which allows the node to automatically select the best available device. This ensures that the node can leverage GPU acceleration if available, or fall back to CPU if necessary, optimizing performance without requiring manual intervention.
is_enable
is a boolean parameter that controls whether the node is active. The default value is True, meaning the node is enabled by default. Setting this to False will disable the node, causing it to return None without performing any operations.
web_url
is an optional string parameter that specifies the URL of the webpage to be searched. This parameter is crucial as it defines the target webpage from which information will be extracted. If not provided, the node will not perform any search operations.
embedding_path
is an optional string parameter that specifies the path to the embedding model to be used for enhanced search capabilities. The default value is None, meaning no embedding model is used unless explicitly specified. Providing a valid embedding path can improve the accuracy and relevance of the search results.
The tool
output parameter is a string that represents the result of the search operation. It contains the extracted information based on the specified keywords and the content of the target webpage. This output is essential for further processing or analysis, providing the necessary data retrieved from the web.
web_url
parameter is correctly specified to target the desired webpage for information extraction.chunk_size
and chunk_overlap
parameters to fine-tune the search process based on the complexity and structure of the webpage content.device
parameter's "auto" setting to automatically select the best available hardware for optimal performance.embedding_path
to leverage advanced embedding models for more accurate and relevant search results.web_url
parameter is either not provided or incorrectly formatted.web_url
is a valid and correctly formatted URL.embedding_path
does not point to a valid embedding model.embedding_path
is correct and points to a valid embedding model file.device
is not available or supported on the current hardware.device
parameter to automatically select the best available hardware.is_enable
parameter is set to False, causing the node to be inactive.is_enable
parameter to True to enable the node and perform the search operation.© Copyright 2024 RunComfy. All Rights Reserved.