Search Agent with Ollama

A modern web application built with Reflex that combines Google Search with local Ollama LLM to provide AI-powered search responses. This app creates an intelligent search agent that can query Google for recent information and generate comprehensive responses using the Llama 3.2 model.

Features

• 🔍 Google Search Integration - Real-time web search using Serper API
• 🤖 Local LLM Processing - Powered by Ollama and Llama 3.2 model
• 🎨 Modern UI - Beautiful gradient design with responsive components
• ⚡ Real-time Updates - Async processing with loading states
• 🛡️ Error Handling - Comprehensive error management and user feedback
• 📱 Responsive Design - Works seamlessly across all devices

Prerequisites

Before running this application, make sure you have the following installed:

• Python 3.10 or higher
• Ollama installed and running
• A Serper API key (get one from serper.dev)

Installation

1. Clone the repository

   git clone https://github.com/bassemalyyy/LangChain-Search-Agent.git
   cd LangChain-Search-Agent

2. Create a virtual environment

   python -m venv venv
   .\venv\Scripts\activate # On Windows

3. Install dependencies

   pip install reflex langchain langchain-community langchain-ollama

4. Install and setup Ollama

   Download and install Ollama from ollama.ai

   Then pull the Llama 3.2 model:

   ollama pull llama3.2

   Start Ollama service:

   ollama serve

5. Configure API Key

   Replace the Serper API key in the code with your own:

   serper_search = GoogleSerperAPIWrapper(
   serper_api_key="serper_api_key")

Running the Application

1. Initialize Reflex

   reflex init

2. Run the development server

   reflex run

3. Open your browser

   Navigate to http://localhost:3000 to access the application.

Project Structure

langchain_reflex_agent/
├── assets/                     
├── langchain_reflex_agent/     # Application package
│   ├── __init__.py
│   └── langchain_reflex_agent.py # Main Reflex entrypoint
├── rxconfig.py                 # Reflex build configuration
├── requirements.txt            # Python dependencies
└── README.md                   # Project overview & setup instructions
├── .gitignore                  # Ignored files

Configuration

Ollama Model Configuration

You can change the Ollama model by modifying this line in main.py:

ollama_llm = OllamaLLM(model="llama3.2")  # Change to any model you have installed

Available models can be listed with:

ollama list

Usage

1. Enter your search query in the input field
2. Click "Submit Query" or press Enter
3. The application will:
   • Search Google for relevant information
   • Process the results using the local Llama 3.2 model
   • Generate a comprehensive AI-powered response

Dependencies

• reflex - Web framework for Python
• langchain - LLM application framework
• langchain-community - Community integrations for LangChain
• langchain-ollama - Ollama integration for LangChain

Acknowledgments

• Reflex for the amazing Python web framework
• Ollama for local LLM capabilities
• LangChain for LLM orchestration
• Serper for Google Search API

Support

If you encounter any issues or have questions, please:

1. Check the troubleshooting section above
2. Search existing GitHub Issues
3. Create a new issue with detailed information about your problem

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