Fabric Data Agents allow you to build conversational Q&A systems using generative AI allowing you to convert natural language into data queries and returning the answers back in natural language.

Benefit of Agents in Fabric…

Microsoft Fabric OneLake offers significant advantages for data management by enabling the construction of Fabric Data Agents, leveraging a diverse range of sources including Lakehouse, Warehouse, Semantic Model, and KQL Database. This integration fosters a seamless and efficient data ecosystem, allowing organizations to harness the full potential of their data assets.

Developing instructions for AI Data Agents within the OneLake platform involves a systematic approach to ensure optimal performance and integration. Begin by outlining clear objectives for what the AI Data Agents should achieve based on the questions.

Providing SQL examples to AI Data Agents offers significant benefits by enhancing their ability to understand and execute complex queries accurately. With concrete examples, AI Data Agents can learn the intricacies of SQL syntax and semantics, leading to improved performance in data retrieval and manipulation tasks. This approach ensures that AI Data Agents are better equipped to handle real-world scenarios, ultimately resulting in more efficient and reliable data operations.