MarkBruns/graph_websearch_agent

Websearch agent built on the LangGraph framework

Custom WebSearch Agent with LangGraph

Watch the Tutorial:

Agent Schema:

Prerequisites

Environment Setup

1. Install Anaconda:
   Download Anaconda from https://www.anaconda.com/.

2. Create a Virtual Environment:

   conda create -n agent_env python=3.11 pip

3. Activate the Virtual Environment:

   conda activate agent_env

Clone and Navigate to the Repository

1. Clone the Repo:

   git clone https://github.com/john-adeojo/graph_websearch_agent.git

2. Navigate to the Repo:

   cd /path/to/your-repo/graph_websearch_agent

3. Install Requirements:

   pip install -r requirements.txt

Configure API Keys

1. Open the config.yaml:

   nano config.yaml

2. Enter API Keys:

   • Serper API Key: Get it from https://serper.dev/
   • OpenAI API Key: Get it from https://openai.com/

Run Your Query

python -m app.app

Then enter your query.