Oracle 23ai: The Future of AI-Infused Databases Is Here

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Oracle has just introduced Oracle Database 23ai, the latest version of its main database platform, and it’s creating a buzz in the tech world. Previously called Oracle 23c, the name change to 23ai represents a significant move towards AI-native features that are set to change how we work with data.

In this blog, we’ll explain what’s new, what’s exciting, and what this means for developers, data engineers, and businesses.

🚀 What Is Oracle 23ai?

Oracle Database 23ai is the newest long-term support (LTS) release, featuring tools for AI-powered applications, boosting developer efficiency, and providing outstanding performance and security for business workloads.

The “ai” in 23ai stands for artificial intelligence integration—not just support, but built-in features that help create, manage, and grow smart apps.

🧠 Key Features of Oracle 23ai

1. AI Vector Search (Built-in Vector Store)

Oracle 23ai offers native vector data support to help you create AI-powered semantic search and retrieval-augmented generation (RAG) applications. It enables the storage, indexing, and searching of high-dimensional vector embeddings, making it suitable for apps that use large language models (LLMs) and generative AI.

🔍 Use Case: Help your application grasp what users want instead of just finding keywords. This is great for chatbots, recommendation systems, and smart search tools.

2. JSON Relational Duality Views

This feature is a big improvement for developers. It lets them use both relational and JSON views of the same data at the same time, without creating duplicates.

💡 Why it matters: Developers can handle JSON like they would in a NoSQL setting, while also enjoying the benefits of the strong relational model beneath it.

3. AI Vector Indexing & Retrieval-Aware Querying

Advanced indexing for vectors with approximate nearest neighbor (ANN) algorithms provides fast and accurate AI search.

🧠 You can now add vector-based AI search directly into your SQL queries, mixing structured and unstructured data for better insights.

4. SQL Enhancements for LLMs

Oracle has added new SQL features and procedures that let you call LLMs (like OpenAI or OCI Generative AI Services) directly from the database.

📎 Example: You can automate tasks like data classification, mood analysis, or content creation—all using your SQL statements.

5. Microservices & App Dev Ready

  • JSON duality views, PL/SQL enhancements, and better REST APIs help microservices developers build cloud-native applications more easily.
  • Native support for GraphQL access to data, making Oracle a great choice for frontend-heavy and mobile apps.

6. Operational Efficiency & Security

  • Secure tables to prevent ransomware and tampering.
  • Operational property graphs for deeper data relationships.
  • Enhanced real-time analytics with in-memory optimizations.

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