> ## 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. # Serp API Web Search Node > Query the Serp API Web Search API Serp API Web Search This node queries the SERP web search API. ## Node Inputs 1. Search Query: The search text for the SERP web search * Type: `Text` 2. API Key: Your SERP API key * Type: `Text` ## Node Outputs 1. Output: The results from the SERP web search * Type: `List` * Example usage: `{{serp_api_0.output}}` ## Considerations * API key is required. * Click on the “+” button on the right of the node to create and connect the node to a [semantic search node](/platform/pipelines/knowledge/semantic-search) to enable semantic search on the search results. ## Example The below example is a pipeline which queries the SERP web search API and answers the query: `What is the tallest building in New York?`. 1. Input Node: Represents the search query 2. Serp API Web Search Node: Queries the SERP web search API * Search Query: `{{input_0.text}}` * API Key: `[API Key]` 3. LLM Node: Uses the LLM to answer the query, based on the results of the SERP API results * System (Instruction): `Answer the question based on the context.` * Prompt: `Question: {{input_0.text}} Context: {{serp_api_0.output}}` 4. Output Node: Displays the answer * Output: `{{openai_0.output}}` Serp API Web Search Example