Oracle Database 23ai brings the power of AI to enterprise data and applications

Oracle AI Vector Search allows you to easily search documents, images, and relational data stored in mission-critical databases based on conceptual content.

You can now use generative AI to ask questions in natural language about private data stored in Oracle databases

Austin, Texas, May 2, 2024 /PRNewswire/ — Oracle Database 23ai, the latest release of Oracle's unified database, is now generally available as a broad cloud service. This long-term support release includes Oracle AI Vector Search and over 300 additional key features focused on simplifying the use of AI with data, accelerating app development, and running mission-critical workloads. I am. New AI Vector Search capabilities enable customers to securely combine searches for documents, images, and other unstructured data with searches for private business data without moving or duplicating data. Rather than moving data to where AI algorithms reside, Oracle Database 23ai brings AI algorithms to where the data resides. This enables AI to run in real-time within the Oracle database, significantly increasing AI effectiveness, efficiency, and security.

Oracle Database 23ai is available not only on Oracle Database@Azure, but also on Oracle Cloud Infrastructure (OCI) on Oracle Exadata Database Service, Oracle Exadata Cloud@Customer, and Oracle Base Database Service.

“Oracle Database 23ai is a game-changer for enterprises around the world, and given the importance of this release's breakthrough AI technology, we are renaming it Oracle Database 23ai,” he said. . Juan Loaiza, Executive Vice President, Mission Critical Database Technologies, Oracle Corporation. “AI Vector Search combined with new unified development paradigms and mission-critical capabilities enables developers and data professionals to build intelligent apps, increase developer productivity, and run mission-critical workloads. It makes things easier.”

“We are pleased to add AI Vector Search to Oracle Database,” said Mr. Shinichiro OtsukaNRI Certified IT Architect, Nomura Research Institute, Inc. “We are grateful to be able to run AI Vector Search in the same Oracle Database as our other workloads, providing a reliable and secure solution.”

New features in Oracle Database 23ai include:

AI for data

• Oracle AI Vector Search: Customers can easily search documents, images, and relational data based on conceptual content rather than specific words, pixels, or data values. AI Vector Search enables LLMs to query private business data using natural language interfaces, enabling LLMs to provide more accurate and relevant results. Additionally, AI Vector Search allows developers to easily add semantic search functionality to both new and existing applications. All mission-critical features of Oracle Database now work transparently with his AI Vectors, allowing Oracle customers to perform AI Vector Search for even the most mission-critical applications. By storing and processing business and vector data in the same high-performance database, customers can seamlessly integrate AI Vector Search into existing business applications and implement new and innovative AI use cases without compromising data security. can.
• Oracle Exadata System Software 24ai: Exadata smart storage accelerates AI Vector Search by up to orders of magnitude. This enables applications to perform AI vector searches against both large amounts of data and large numbers of users.
• OCI Golden Gate 23ai: GoldenGate enables the integration and high availability of disparate data across cloud data stores. GoldenGate 23ai provides a new feature that allows you to replicate vectors between disparate vector stores in real time. Additionally, enterprises can quickly deploy AI to all their data with minimal risk by replicating data from existing databases to Oracle Database 23ai, where it can be vectorized and indexed for fast AI searches. You can do it.

Accelerate app development

• JSON relational integration: JSON relational duality addresses the mismatch between how some applications use data and how relational databases store data. Developers have been able to read and write relational data using SQL for decades. JSON also allows you to easily retrieve and store the same data using REST or native JSON APIs without sacrificing the data consistency, storage efficiency, and flexibility inherent in relational data models. I did. With JSON Relational Duality Views, developers and customers no longer have to choose a single data model for their data. Get the benefits of both JSON and relational data models for the same data.
• Graph relational integration: Operational Property Graph allows developers to easily build applications that use property graph queries to navigate connections between and within data. Property graph queries can be performed on all types of data supported by Oracle Database, including relational data, JSON data, and spatial data. Developers can define graph models directly on production data and query graphs using the new ISO standard SQL/PGQ syntax. This makes it easier and faster to create applications that analyze connections, patterns, and relationships between data, such as across multiple financial transactions.
• Free developer database: Always Free Autonomous Database provides two free Autonomous Database serverless instances in the cloud with pre-integrated tools such as Oracle APEX, Select AI, database tools, machine learning, graphs, and more, forever. Autonomous Database Free container images and Oracle Database Free now support Oracle Database 23ai, making it easy for developers to download and try the latest features such as AI Vector Search, JSON Relational Duality, and Operational Property Graph using SQL. can do.

mission critical data

• Oracle Globally Distributed Database with RAFT: Oracle Globally Distributed Database allows you to expose a single database image to applications while storing data in the cloud across multiple physical databases in multiple locations instead of in one database. It is used to achieve hyperscale and address data residency and data sovereignty requirements. RAFT replication between physical databases now enables automatic failover with zero data loss in single-digit seconds. This is important when building cloud-scale distributed databases that need to achieve ultra-high scalability and availability. Integrating intra-database replication with RAFT-based protocols simplifies the creation and management of fault-tolerant distributed databases and reduces the need for manual processes to maintain active/active availability.
• Oracle True Cache: True Cache is a high-performance middle-tier cache that is always consistent in memory and transparent to applications. Oracle True Cache reduces application response time while reducing the load on database servers. Unlike other middle-tier caches, True Cache data is automatically transactionally consistent at all times. True Cache simplifies deployment between applications and databases because developers don't have to write code to populate and manage caches. True Cache brings the rich functionality of Oracle Database to middle-tier caching. All Oracle SQL, JSON, and Graph query functionality is available with True Cache.
• In-database SQL firewall: Oracle SQL Firewall helps protect your database from malicious SQL such as SQL injection attacks. Oracle SQL Firewall, built into Oracle Database 23ai, provides a scalable, high-performance, and hard-to-bypass method to address risks from hackers and compromised insider accounts. Additionally, organizations can use Oracle Data Safe to manage multiple SQL firewalls, significantly reducing deployment costs.

“The rise of generative AI has led to a renewed emphasis on vector databases as a highly efficient means of searching data in both unstructured and structured sources.However, experience shows that , a separate database becomes yet another data resource to manage and keep synchronized. Karl Olofsson, Vice President of Research, Data Management Software, IDC. “Old data is not acceptable as we need to fine-tune LLM with business data using RAG technology. Oracle Database 23ai now allows us to fine-tune vector and customer data using AI vector search. We aim to solve this problem by leveraging Oracle Database 23ai's generative AI innovations, specifically AI Vector Search, to ensure content is fresh and relevant as it moves from project to production. By providing an all-in-one solution, Oracle has delivered a huge leap forward for our customers.

additional resources

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