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/
   • Gemini API Key: Get it from https://ai.google.dev/gemini-api
   • Claude API Key: Get it from https://docs.anthropic.com/en/api/getting-started
   • Groq API Key: Get it from https://console.groq.com/keys

Run the front end

If you want to run the front end

For Windows, run:

run_windows.ps1

For Linux/macOS, run:

chmod +x run_linux.sh
run_linux.sh

Run Your Query In Shell

python -m app.app

Then enter your query.

If you want to work with Ollama

Setup Ollama Server

1. Download Ollama: Download https://ollama.com/download

2. Download an Ollama Model:

   curl http://localhost:11434/api/pull -d "{\"name\": \"llama3\"}"

Ollama API documentation

Video on how I integrated the Ollama Server: