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How to Build Your First AI Agent in Oracle Integration (OIC 3) | Agent Tool, Template, Prompt
Unlock the power of Generative AI within your enterprise workflows! In this video, We will walk you through a complete, step-by-step tutorial on building your very first AI Agent inside Oracle Integration (OIC 3).
The magic happens when the AI understands a natural language request like "Show me the expenses for employee Number 9" and automatically decides to trigger an OIC integration to fetch that data.
What we cover in this deep-dive:
✅ The AI Agent Core: How to initialize your agent and define its persona as a financial data assistant.
✅ Prompt Engineering & Agent Templates: How to use Prompt Templates to guide the LLM. We define exactly how the agent should interpret "Employee Number" and what format it should return the expense data in.
✅ Creating the Agent Tool: This is the bridge! I show you how to take a Database Integration (that selects records from your DB) and expose it as a "Tool" that the AI Agent can call on demand.
✅ Parameters & Reasoning: Watch how the agent extracts the Employee Number from the user's chat and passes it as a parameter to the OIC Integration Tool.
✅ Live Demo: A full "End-to-End" test where we chat with the agent, it calls the DB, and returns a summarized list of expense claims.
Join this channel and become a member to get access to perks:
https://www.youtube.com/c/BEENUMLEARNING/join
#beenumlearning #oracle #shorts
https://youtu.be/xT3sPDw-56w
Watch full video by clicking on above link
Видео How to Build Your First AI Agent in Oracle Integration (OIC 3) | Agent Tool, Template, Prompt канала BEENUM LEARNING
The magic happens when the AI understands a natural language request like "Show me the expenses for employee Number 9" and automatically decides to trigger an OIC integration to fetch that data.
What we cover in this deep-dive:
✅ The AI Agent Core: How to initialize your agent and define its persona as a financial data assistant.
✅ Prompt Engineering & Agent Templates: How to use Prompt Templates to guide the LLM. We define exactly how the agent should interpret "Employee Number" and what format it should return the expense data in.
✅ Creating the Agent Tool: This is the bridge! I show you how to take a Database Integration (that selects records from your DB) and expose it as a "Tool" that the AI Agent can call on demand.
✅ Parameters & Reasoning: Watch how the agent extracts the Employee Number from the user's chat and passes it as a parameter to the OIC Integration Tool.
✅ Live Demo: A full "End-to-End" test where we chat with the agent, it calls the DB, and returns a summarized list of expense claims.
Join this channel and become a member to get access to perks:
https://www.youtube.com/c/BEENUMLEARNING/join
#beenumlearning #oracle #shorts
https://youtu.be/xT3sPDw-56w
Watch full video by clicking on above link
Видео How to Build Your First AI Agent in Oracle Integration (OIC 3) | Agent Tool, Template, Prompt канала BEENUM LEARNING
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2 марта 2026 г. 11:16:34
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