Oracle Database 23 AI: Revolutionizing Data Management

TLDROracle Database 23 AI is a game-changing release with over 300 major new features. The three main focus areas are AI, developers, and mission-critical. The AI Vector search feature allows the database to search data by content, including documents, images, videos, and audio. It also enables relational data search by conceptual content. Developers can now unify JSON, graph, and relational data, simplifying development and making data easier to use. Oracle Database 23 AI combines the power of SQL queries with the flexibility of object-based data handling.

Key insights

🔍The most important feature in Oracle Database 23 AI is the AI Vector search capability, allowing the database to search data by content.

🚀Developers can now unify JSON, graph, and relational data, simplifying development and making data easier to use.

🎯The combination of SQL queries and object-based data handling in Oracle Database 23 AI provides developers with the best of both worlds.

🔄With the unified data handling capabilities, developers can easily evolve their schema and make changes to their data without difficulty.

🌐Oracle Database 23 AI also enhances the capabilities of AI chat, allowing natural language interactions with the data in the database.

Q&A

What is the most significant feature in Oracle Database 23 AI?

—The most significant feature is the AI Vector search capability, which enables searching data by content and concepts, providing powerful search capabilities across various data types.

How does Oracle Database 23 AI simplify development for developers?

—Oracle Database 23 AI allows developers to unify JSON, graph, and relational data, eliminating the need to choose one format. This simplifies development and makes data easier to use by providing flexibility and seamless integration.

What are the benefits of combining SQL queries with object-based data handling?

—The combination of SQL queries and object-based data handling in Oracle Database 23 AI provides developers with the power of SQL query language while allowing them to think of the data as objects. This combination offers the best of both worlds and enables efficient data management and querying.

Can developers easily make changes to their schema and data in Oracle Database 23 AI?

—Yes, developers can easily evolve their schema and make changes to their data in Oracle Database 23 AI. The unified data handling capabilities allow for schema evolution and seamless integration of new data without difficulties in managing and modifying the schema.

How does Oracle Database 23 AI enhance AI chat capabilities?

—Oracle Database 23 AI enhances AI chat capabilities by combining AI Vector search with natural language processing. This allows for natural language interactions with the data in the database, enabling powerful AI-based chat functionality.

Timestamped Summary

01:06Oracle Database 23 AI is a game-changing release with over 300 major new features. It focuses on AI, developers, and mission-critical applications.

01:16The AI Vector search feature allows the database to search data by content, enabling powerful search capabilities across various data types.

09:01Developers can now unify JSON, graph, and relational data, simplifying development and making data easier to use.

10:09Oracle Database 23 AI unifies JSON, graph, and relational data, providing the benefits of both object-based and relational data handling.

12:19The combination of SQL queries and object-based data handling in Oracle Database 23 AI offers developers the best of both worlds.

12:38Developers can easily evolve their schema and make changes to their data in Oracle Database 23 AI, ensuring flexibility and efficient data management.

13:05Oracle Database 23 AI enhances AI chat capabilities, enabling natural language interactions with the data in the database.

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