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docs/tools/websitesearchtool.mdx

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+---
+title: Website RAG Search
+description: The `WebsiteSearchTool` is designed to perform a RAG (Retrieval-Augmented Generation) search within the content of a website.
+icon: globe-stand
+---
+
+# `WebsiteSearchTool`
+
+<Note>
+    The WebsiteSearchTool is currently in an experimental phase. We are actively working on incorporating this tool into our suite of offerings and will update the documentation accordingly.
+</Note>
+
+## Description
+
+The WebsiteSearchTool is designed as a concept for conducting semantic searches within the content of websites. 
+It aims to leverage advanced machine learning models like Retrieval-Augmented Generation (RAG) to navigate and extract information from specified URLs efficiently. 
+This tool intends to offer flexibility, allowing users to perform searches across any website or focus on specific websites of interest. 
+Please note, the current implementation details of the WebsiteSearchTool are under development, and its functionalities as described may not yet be accessible.
+
+## Installation
+
+To prepare your environment for when the WebsiteSearchTool becomes available, you can install the foundational package with:
+
+```shell
+pip install 'crewai[tools]'
+```
+
+This command installs the necessary dependencies to ensure that once the tool is fully integrated, users can start using it immediately.
+
+## Example Usage
+
+Below are examples of how the WebsiteSearchTool could be utilized in different scenarios. Please note, these examples are illustrative and represent planned functionality:
+
+```python Code
+from crewai_tools import WebsiteSearchTool
+
+# Example of initiating tool that agents can use 
+# to search across any discovered websites
+tool = WebsiteSearchTool()
+
+# Example of limiting the search to the content of a specific website, 
+# so now agents can only search within that website
+tool = WebsiteSearchTool(website='https://example.com')
+```
+
+## Arguments
+
+- `website`: An optional argument intended to specify the website URL for focused searches. This argument is designed to enhance the tool's flexibility by allowing targeted searches when necessary.
+
+## Customization Options
+
+By default, the tool uses OpenAI for both embeddings and summarization. To customize the model, you can use a config dictionary as follows:
+
+
+```python Code
+tool = WebsiteSearchTool(
+    config=dict(
+        llm=dict(
+            provider="ollama", # or google, openai, anthropic, llama2, ...
+            config=dict(
+                model="llama2",
+                # temperature=0.5,
+                # top_p=1,
+                # stream=true,
+            ),
+        ),
+        embedder=dict(
+            provider="google", # or openai, ollama, ...
+            config=dict(
+                model="models/embedding-001",
+                task_type="retrieval_document",
+                # title="Embeddings",
+            ),
+        ),
+    )
+)
+```