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

Izzo You're listening to Exploring Next, episode 286, and today we're talking about Databricks' research on multi-step agents.

Boone That's right, Izzo. Their research shows that multi-step agents can outperform single-turn RAG systems on hybrid queries by a significant margin.

Izzo So why does this matter? Well, think about all the times you've tried to answer a question that requires joining structured data with unstructured content.

Boone Exactly. And that's where single-turn RAG systems fall short. They can't handle queries that require splitting the query, routing each half to the right data source, and combining the results.

Izzo But Databricks' multi-step agent approach seems to solve this problem. Can you walk us through how it works, Boone?

Boone Sure thing. The Supervisor Agent uses parallel tool decomposition, which allows it to fire SQL and vector search calls simultaneously, and then analyzes the combined results before deciding what to do next.

Izzo That makes sense. And what about self-correction? How does that work?

Boone When an initial retrieval attempt hits a dead end, the agent detects the failure, reformulates the query, and tries a different path. It's a really powerful approach.

Izzo I can see how that would be useful. So what kind of gains are we talking about here?

Boone According to the research, the multi-step agent achieves gains of 20% or more on Stanford's STaRK benchmark suite.

Izzo That's impressive. And what about the implications for product development and market fit?

Boone Well, I think this research has significant implications for anyone building AI agents that need to handle hybrid queries. It's definitely worth exploring further.

Izzo Absolutely. So what should our listeners go research or try building next?

Boone I'd recommend checking out Databricks' research on multi-step agents and experimenting with the Supervisor Agent. You could also try building a simple multi-step agent using a framework like PyTorch or TensorFlow.

Izzo Great suggestions, Boone. And finally, what's the one thing you'd like our listeners to take away from this episode?

Boone I think it's that multi-step agents are a game-changer for handling hybrid queries, and they're definitely worth exploring further.

Izzo Thanks for tuning in to this episode of Exploring Next. We'll catch you on the next one.