This AI Agent Should Have Been a SQL Query
a year ago
- #AI Agents
- #Streaming SQL
- #Apache Flink
- AI Agents have evolved into sophisticated, autonomous systems.
- Streaming SQL queries can be used to build agentic systems, leveraging platforms like Apache Flink.
- Apache Flink offers benefits in consistency, scalability, and developer experience for AI Agents.
- AI Agents interact with LLMs, requiring context and memory for effective operation.
- Event-driven architectures are ideal for AI Agents, allowing real-time data processing.
- Flink SQL supports ML/AI model integration, enabling LLM interactions within queries.
- Retrieval-augmented generation (RAG) helps provide context to LLMs using vector databases.
- Process Table Functions (PTFs) in Flink SQL allow custom logic for agent memory and tool integration.
- Flink Agents sub-project (FLIP-531) aims to create a Flink-based runtime for AI Agents.
- SQL democratizes AI Agent development, making it accessible to SQL-savvy engineers.