Document Search FAQs

Question 1

How does Document Search work?

Accepted Answer

The tool uses the Serper API to perform web searches related to your query and the specified library (LangChain, LlamaIndex, or OpenAI). It then fetches the URLs from the search results, extracts the text content using BeautifulSoup, and returns the relevant information.

Question 2

What is Document Search?

Accepted Answer

Document Search is a tool that lets you search the documentation for LangChain, LlamaIndex, and OpenAI. It utilizes the Serper API to find relevant information and extracts the text from the corresponding documentation pages.

Question 3

Which libraries' documentation can I search?

Accepted Answer

Currently, Document Search supports searching the documentation for LangChain, LlamaIndex, and OpenAI. It fetches the latest information directly from their official documentation pages.

Question 4

What do I need to use Document Search?

Accepted Answer

You'll need Python 3.12 or higher, a Serper API Key (for performing web searches), and the MCP library. You also need to install BeautifulSoup4 and httpx for HTTP requests and HTML parsing.

Question 5

How do I install the tool?

Accepted Answer

First, clone the repository and install the dependencies using `pip install -r requirements.txt`. Then, set up your Serper API Key in a `.env` file and run the server using `uv run main.py`.

Document Search

Document Search

Key Features

Use Cases

Key Features

Use Cases