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Google engineers demonstrate how AI systems are evolving from basic retrieval-augmented generation (RAG) to graph-based architectures that handle more complex reasoning and multimodal tasks. The 90-minute workshop walks through building production agent stacks with semantic graph retrieval and specialized agent orchestration.
- RAG is being replaced by graph-based approaches that organize context semantically rather than just retrieving relevant documents
- The production stack involves extracting graph context and orchestrating multiple specialized agents to handle different tasks
- This represents a concrete shift in how companies are building AI systems—from simple retrieval to structured knowledge representation