Deployment and final validation
Deploy the completed agent and verify its knowledge and tool integration from the chat interface.
This lesson finishes the path by deploying the agent and validating that the connected knowledge and tools behave correctly in a chat session.
Deploy the agent
After finishing the tool, knowledge, and system instruction setup, click Deploy in the agent builder. For an already deployed agent, click Redeploy to apply changes.
Review deployment status and actions
When deployment finishes, a green Running badge appears. Use Stop in the builder to stop the deployment and Preview to open the chat test.
Validate with chat testing
Click Preview in the agent builder to open the chat page, then ask the agent natural-language questions. Confirm that the connected knowledge base and tools respond as expected.
What you should be able to do after this lesson
- Deploy an agent and confirm its deployment status
- Use Preview chat to validate whether connected document knowledge and tools work together correctly
Path complete — what's next
If you made it here, you've personally tied collections, ontology, pipelines, dashboards, models, agents, and knowledge into one working resource flow inside D.Hub. Recommended next steps:
- Retail Inventory Intelligence — Walk one longer scenario where the surfaces you touched in this Path operate together in a real business flow.
- Analyst Path — Revisit how loaded data and dashboards are consumed from the user-facing side.
- Agent Builder Path — Go deeper into tools, actors, RAG, and safety gating when you want to design the agent layer in more detail.
Checking off every lesson in this Path records the Path as complete. Your next learning surfaces as a recommendation in the home's "Continue learning" panel.
Well done, and congratulations on completing this path!