Get Wikipedia Article Node

Documentation Index

Fetch the complete documentation index at: https://docs.vectorshift.ai/llms.txt

Use this file to discover all available pages before exploring further.

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Node Inputs

1. Search Query: The query text to search Wikipedia
   • Type: Text

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Node Parameters

1. Chunk Text: Chunk the articles returned
2. Chunk Size (if Chunk Text is set to True): The size of each chunks in tokens (1 token = 4 characters; default is 512 tokens)
3. Chunk Overlap (if Chunk Text is set to True): The number of tokens of overlap between chunks (default is 0 tokens)

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Node Outputs

1. Content: The relevant Wikipedia articles
   • Type: Text
   • Example usage: {{wikipedia_0.content}}

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Considerations

• Click on the “+” button on the right of the node to create and connect the node to a semantic search node to enable semantic search on the articles.

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Example

1. Text Node: Contains the search query
2. Wikipedia Node: Returns relevant Wikipedia articles based on a search query
   • Search Query: {{text_0.text}}
3. Output Node: Displays the text from the articles
   • Output: {{wikipedia_0.output}}