# Wikipedia Search Agent - LinkedIn Project Description **Project Title:** AI-Powered Wikipedia Search Agent **Description:** Developed an intelligent conversational AI agent using LangChain and OpenAI's GPT-3.5-turbo that can search Wikipedia and maintain conversation context. The agent implements the ReAct (Reasoning and Acting) pattern to autonomously decide when to search for information and provide accurate, contextual responses. **Key Features:** • Built with LangChain framework for robust agent orchestration • Integrated Wikipedia REST API for real-time information retrieval • Implemented conversation memory to maintain context across interactions • Used ReAct pattern for intelligent decision-making and tool usage • Added comprehensive error handling and logging for production readiness **Technical Stack:** • Python, LangChain, OpenAI API • Wikipedia REST API integration • Environment variable management with python-dotenv • Structured logging and exception handling **Impact:** Created a foundation for intelligent information retrieval systems that can be extended to multiple data sources. The modular architecture allows easy integration of additional tools and APIs, making it suitable for various AI-powered applications. **Skills Demonstrated:** • AI Agent Development • API Integration • Natural Language Processing • Python Programming • Error Handling & Logging • ReAct Pattern Implementation **GitHub:**https://github.com/bilalsjutt/Simple_wikipedia_search_Agent