> ## 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. # Knowledge Base Loader Node > Load Data into an existing Knowledge Base Knowledge Base Loader The knowledge base loader node loads data (files or scraped content from URLs) into an existing knowledge base. ## Node Inputs 1. Knowledge Base: Select the knowledge base you would like to query. * Type: `KnowledgeBase` You can choose an existing Knowledge Base in two ways: 1. Select: You can select from the dropdown a Knowledge Base in created in VectorShift platform. 2. Variable: You can pass in a variable containing reference to the Knowledge Base you want to select. If Data Type is File: 1. Documents to load: The file to be added to the selected Knowledge Base. Note: to convert text to file, use the Text to File node. * Type: `List` If Data Type is URL: 1. URL to load: The raw URL link (e.g., [https://vectorshift.ai/](https://vectorshift.ai/)) * Type: `Text` ## Node Parameters If Data Type is URL: 1. Loader Type: The type of URL loader you want to use. The available loaders are URL, Wikipedia Query, Youtube URL, Arxiv Query and Repository URL. The default value is URL. 2. Recursive: Scrape sub-pages of the provided link. 3. Re-scrape Frequency: The frequency that the URL will be re-scraped. The available options are Never, Hourly, Daily, Weekly and Monthly. The default value is Never. ## Node Outputs The knowledge base loader node does not have any node outputs. ## Example The below example shows a pipeline that loads content from vectorshift.ai into a knowledge base. * Text Node: Contains the URL "vectorshift.ai" * Knowledge Base Loader Node: * Knowledge Base: Select the knowledge base you want to load the data into from the "Knowledge Base" drop down * Data Type: `URL` * URL to load: `{{text_0.text}}` Knowledge Base Loader Example Knowledge Base Loader KB Example