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Learn to build conversation-fast analytics backends that power real-time AI and analytics in user-facing applications through this conference talk from OSA Con 2025. Dive deep into an open-source reference architecture designed for conversational AI and real-time analytics, exploring practical integration patterns for streaming and analytical infrastructure in web applications, including AI chat systems. Examine a comprehensive architecture that combines transactional databases (Postgres) with analytical engines (ClickHouse®), RedPanda for streaming, React frontend development, and MCP interfaces for LLM chat functionality. Discover how to implement the entire analytics stack using code-defined approaches with the MooseStack open source framework, ensuring low-latency responsiveness for analytics visualizations and conversational AI while maintaining a modern, local-first developer experience that integrates seamlessly into existing technology stacks.
