Streamlit Search Agent with Ollama 🔍

A powerful web application that combines Google Search capabilities with Ollama's LLM to provide AI-enhanced search responses. Built with Streamlit and LangChain, this application offers an intuitive interface for users to search and receive AI-processed answers.

Features

• 🎯 Google Search integration through LangChain
• 🤖 Ollama LLM integration for intelligent response processing
• 💻 Clean, modern Streamlit interface with customizable theming
• ⚡ Real-time query processing and response generation
• 🛠️ Error handling and retry mechanisms
• ⚙️ Configurable search parameters and agent behavior

Prerequisites

• Python 3.8+
• Streamlit
• LangChain
• Ollama
• Google Search API credentials

Installation

1. Clone the repository:

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

2. Install required packages:

pip install -r requirements.txt

3. Set up your configuration:
   • Create a .streamlit/config.toml file with your theme preferences
   • Configure your Google Search API credentials

Configuration

Create a config.toml file in the .streamlit directory with the following structure:

[theme]
primaryColor = "#YOUR_PRIMARY_COLOR"
backgroundColor = "#YOUR_BACKGROUND_COLOR"
secondaryBackgroundColor = "#YOUR_SECONDARY_BACKGROUND_COLOR"

Usage

1. Start the Streamlit application:

streamlit run main.py

2. Enter your search query in the text input field
3. Click "Submit Query" to get AI-enhanced search results

Environment Variables

The following environment variables need to be set:

• GOOGLE_API_KEY: Your Google Search API key
• GOOGLE_CSE_ID: Your Google Custom Search Engine ID

Acknowledgments

• Built with Streamlit
• Powered by LangChain
• Uses Ollama for LLM capabilities