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Building agents using streaming SQL queries
AI Agents have improved in leaps and bounds in recent times, moving beyond simple chatbots to sophisticated, autonomous systems. This post explores a novel approach to building agentic systems: using the power of streaming SQL queries. Discover how platforms like Apache Flink can transform the development of AI Agents, offering benefits in consistency, scalability, and developer experience.
In this presentation he made the case for implementing microservices as SQL queries on top of a stream processor, arguing that this approach yields faster times to market, while ensuring high consistency, scalability, and low latency for your data processing. Anthropic’s MCP standard ( Model Context Protocol) has seen a massive uptake over the last few months for exactly this use case, allowing you to integrate custom services and data sources into your agentic workflows. The idea is to re-use Flink’s proven foundation for low-latency continuous data processing, which offers many desirable traits such as fault tolerance, scalability, state management, observability, and more.
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