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+---
+layout: integration
+name: SerperDev
+description: Uses Serper.dev API for web searches
+authors:
+    - name: deepset
+      socials:
+        github: deepset-ai
+        twitter: deepset_ai
+        linkedin: https://www.linkedin.com/company/deepset-ai/
+pypi: https://pypi.org/project/haystack-ai/
+repo: https://github.com/deepset-ai/haystack
+type: Data Ingestion
+report_issue: https://github.com/deepset-ai/haystack/issues
+logo: /logos/serperdev.png
+version: Haystack 2.0
+toc: true
+---
+
+### **Table of Contents**
+- [Overview](#overview)
+- [Installation](#installation)
+- [Usage](#usage)
+- [License](#license)
+
+## Overview
+
+The `SerperDevWebSearch` component allows you to perform web searches using the [Serper.dev](https://serper.dev/) API. It retrieves relevant snippets and URLs that can be used directly in your Haystack applications, such as Retrieval-Augmented Generation (RAG) pipelines or with Haystack Agents.
+
+This component is part of the core `haystack-ai` package, meaning you do not need to install an external integration package to use it.
+
+When you pass a query to `SerperDevWebSearch`, it returns a list of URLs and text snippets that are most relevant to your search.
+
+## Installation
+
+Since the Serper.dev web search component is built into the core Haystack framework, you just need to install `haystack-ai`:
+
+```bash
+pip install haystack-ai
+```
+
+You will also need to get an API key from [Serper.dev](https://serper.dev/) and set it as an environment variable:
+
+```bash
+export SERPERDEV_API_KEY="your-api-key"
+```
+
+## Usage
+
+### Components
+
+This integration provides the following component:
+
+- [`SerperDevWebSearch`](https://docs.haystack.deepset.ai/docs/serperdevwebsearch): A component that queries the Serper.dev API to find web pages relevant to a given query.
+
+### Standalone Usage
+
+Here is how you can use `SerperDevWebSearch` directly:
+
+```python
+from haystack.components.websearch import SerperDevWebSearch
+from haystack.utils import Secret
+import os
+
+# Ensure the environment variable is set
+os.environ["SERPERDEV_API_KEY"] = "your-api-key"
+
+# Initialize the component (it automatically uses the SERPERDEV_API_KEY environment variable)
+web_search = SerperDevWebSearch(api_key=Secret.from_env_var("SERPERDEV_API_KEY"))
+
+# Run a search query
+results = web_search.run(query="What is Haystack AI?")
+
+# Access the search results
+documents = results["documents"]
+links = results["links"]
+
+for doc in documents:
+    print(f"Title: {doc.meta.get('title')}")
+    print(f"Snippet: {doc.content}")
+    print(f"URL: {doc.meta.get('link')}")
+    print("-" * 50)
+```
+
+### Usage within a Pipeline
+
+You can integrate `SerperDevWebSearch` directly into a Generative QA pipeline to answer questions using the live web context:
+
+```python
+import os
+from haystack import Pipeline
+from haystack.components.websearch import SerperDevWebSearch
+from haystack.components.builders import ChatPromptBuilder
+from haystack.components.generators.chat import OpenAIChatGenerator
+from haystack.dataclasses import ChatMessage
+
+os.environ["SERPERDEV_API_KEY"] = "your-serperdev-api-key"
+os.environ["OPENAI_API_KEY"] = "your-openai-api-key"
+
+template = [
+    ChatMessage.from_user("""
+Given the following web search results, answer the user's question.
+
+Search Results:
+{% for document in documents %}
+    {{ document.content }}
+{% endfor %}
+
+Question: {{ query }}
+Answer:
+""")
+]
+
+pipe = Pipeline()
+pipe.add_component("websearch", SerperDevWebSearch())
+pipe.add_component("prompt_builder", ChatPromptBuilder(template=template))
+pipe.add_component("llm", OpenAIChatGenerator())
+
+pipe.connect("websearch.documents", "prompt_builder.documents")
+pipe.connect("prompt_builder.prompt", "llm.messages")
+
+query = "What are the latest features in Haystack 2.0?"
+response = pipe.run({
+    "websearch": {"query": query},
+    "prompt_builder": {"template_variables": {"query": query}}
+})
+
+print(response["llm"]["replies"][0].content)
+```
+
+## License
+
+`haystack-ai` is distributed under the terms of the [Apache-2.0](https://spdx.org/licenses/Apache-2.0.html) license.
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