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Learn to build an AI research agent capable of searching research papers, summarizing findings, and answering topic-based questions in this comprehensive 28-minute workshop recording from the AI Engineer World's Fair in San Francisco. Construct an intelligent system using MongoDB as the agent's memory provider and knowledge store, open-source large language models as the computational brain, and LangChain to orchestrate the complete agentic workflow. Follow along with provided GitHub repository resources including notebook templates with pseudocode that you'll replace with functional code during the hands-on portions. Gain practical experience implementing an end-to-end AI agent architecture while working with modern tools for document retrieval, natural language processing, and knowledge management. The workshop requires basic to intermediate Python knowledge and provides setup instructions for both Google Colab and local development environments, making it accessible for developers looking to build sophisticated AI-powered research tools.
