Uploaded July 2026 | Updated September 2026, 2 weeks ago

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This Oracle AI Database quick start shows you how to explore the Oracle AI Developer Hub, clone the GitHub repository, prepare your environment, and run a tutorial notebook.

*Chapters*
0:00 Get started with the Oracle AI Developer Hub
0:10 Explore the repository structure
0:39 Clone the GitHub repository
0:50 Set up Jupyter Notebook or VS Code
1:06 Choose an Oracle AI Database environment
1:18 Open a notebook and connect to the database
1:38 Run the notebook and verify the outputs

Take a guided tour of the Oracle AI Developer Hub and learn where to find tutorial notebooks, complete AI application examples, developer guides, and setup documentation.

You’ll also see how to clone the repository, review notebook dependencies, choose a local Docker or Oracle Cloud database environment, connect Python to Oracle Database, and run the notebook cells in order.

*Resources*

👉 Oracle AI Developer Hub: github.com/oracle-devrel/oracle-ai-developer-hub

📦 langchain-oracledb Python package: pypi.org/project/langchain-oracledb

💻 LangChain–Oracle GitHub repository: github.com/oracle/langchain-oracle

📖 LangGraph persistence with Oracle AI Database: blogs.oracle.com/developers/langgraph-persistence-with-oracle-ai-database

🧠 Oracle AI Agent Memory: oracle.com/database/ai-agent-memory

Use these resources to continue building with LangChain Oracle Database integrations, LangGraph persistence, and durable memory for AI agents.

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