Databricks tested a stronger model against its multi-step agent on hybrid queries. The stronger model still lost by 21%.

Databricks' research tested a stronger model against its multi-step agent on hybrid queries, which involve joining structured and unstructured data, and found that the stronger model still underperformed by 21%. This highlights the challenges of building effective AI agents that can handle complex queries that combine different types of data, a common problem faced by data teams building AI systems.

⚡ Key Takeaways

• Single-turn RAG systems struggle with hybrid queries that require joining structured and unstructured data.
• Even stronger models can underperform on these types of queries, with a 21% loss in Databricks' testing.
• Multi-step agents may be more effective at handling complex queries that combine different types of data.

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