The future of RAG isn’t just dense vectors. It's deep semantics and graph reasoning. This session shows how Azure Database for PostgreSQL brings GenAI workloads to life using semantic operators and integrated LLM capabilities. You’ll learn to extract structure from messy text, perform semantic re-ranking of content, and assess the truthfulness of natural language statements. Then, take it further by building knowledge graphs with Apache AGE to support precise, context-aware retrieval. By the end, you’ll have a full pattern for next-gen retrieval in PostgreSQL using tools already in your data stack.