Most Databricks agent tutorials start with "set up Unity Catalog and Vector Search first." This one...
Most Databricks agent tutorials start with "set up Unity Catalog and Vector Search first."
This one doesn't. I built a fully working conversational agent using only samples.tpch — the dataset that ships in every Databricks workspace by default. No custom tables, no Vector Search index, no catalog setup.
The stack:
OpenAI Agents SDK (with AsyncOpenAI — important, sync breaks it)
Databricks Model Serving (Llama 3.3 70B via OpenAI-compatible endpoint)
Build a data scientist agent using Together’s open-source models and Code Interpreter—easy to implement, solid benchmarks, and…
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