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Learn to build a modular application that leverages AI agents to construct knowledge graphs using OpenAI's large language model, Google's Agents Development Kit (ADK), and Neo4j graph database. Discover how to create a comprehensive Product → Assembly → Part → Supplier knowledge graph from CSV data sources through a systematic approach that separates responsibilities between specialized agents and a central orchestrator. Master the implementation of configuration management using YAML files, secure credential handling through environment variables, and comprehensive logging systems for monitoring and debugging. Explore the architectural patterns for building scalable agentic systems that can process structured data and transform it into meaningful graph relationships. Understand how to design modular components that work together to automate the knowledge extraction and graph construction process, making complex data relationships more accessible and queryable through Neo4j's powerful graph database capabilities.
