Oracle AI Vector Search allows documents,
images, and relational data that are stored in mission-critical
databases to be easily searched based on their conceptual
content
Generative AI can now be used to ask natural
language questions about private data stored in Oracle
databases
AUSTIN,
Texas, May 2, 2024 /PRNewswire/ -- Oracle
Database 23ai, the latest release of Oracle's converged database,
is now generally available as a broad range of cloud services. This
long-term support release includes Oracle AI Vector Search and more
than 300 additional major features focused on simplifying the use
of AI with data, accelerating app development, and running
mission-critical workloads. The new AI Vector Search capabilities
enable customers to securely combine search for documents, images,
and other unstructured data with search on private business data,
without moving or duplicating it. Oracle Database 23ai brings AI
algorithms to where the data lives, instead of having to move the
data to where the AI algorithm lives. This allows AI to run in
real-time in Oracle databases, and greatly improves the
effectiveness, efficiency, and security of AI.
Oracle Database 23ai is available in Oracle Cloud Infrastructure
(OCI) on Oracle Exadata Database Service, Oracle Exadata
Cloud@Customer and Oracle Base Database Service, as well as on
Oracle Database@Azure.
"Oracle Database 23ai is a game changer for enterprises
worldwide, and because of the importance of the breakthrough AI
technology in this release, we are renaming it to Oracle Database
23ai," said Juan Loaiza, executive
vice president, Mission-Critical Database Technologies, Oracle. "AI
Vector Search combined with new unified development paradigms and
mission-critical capabilities makes it simple for developers and
data professionals to build intelligent apps, increase developer
productivity, and run mission-critical workloads."
"We are happy to see AI Vector Search added to Oracle Database,"
said Shinichiro Otsuka, NRI
Certified IT Architect, Nomura Research Institute, Ltd. "We
appreciate that we can run AI Vector Search in the same Oracle
Database as our other workloads, which allows us to provide a
reliable and secure solution."
New capabilities in Oracle Database 23ai include:
AI for Data
- Oracle AI Vector Search: Makes it simple for
customers to search documents, images, and relational data based on
their conceptual content rather than specific words, pixels, or
data values. AI Vector Search makes it possible for LLMs to query
private business data using a natural language interface and helps
LLMs provide more accurate and relevant results. In addition,
AI Vector Search allows developers to easily add semantic search
capabilities to both new applications and existing applications.
All the mission-critical features of Oracle Database now work
transparently with AI vectors, enabling Oracle customers to run AI
Vector Search for even their 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 to implement new
and innovative AI use cases—without compromising data
security.
- Oracle Exadata System Software 24ai: Exadata smart
storage accelerates AI Vector Search by up to orders of magnitude.
This enables applications to run AI Vector Search for both large
volumes of data and high numbers of users.
- OCI GoldenGate 23ai: GoldenGate enables
heterogeneous data integration and high availability across cloud
data stores. GoldenGate 23ai delivers new capabilities that allow
vectors to be replicated in real-time across heterogeneous vector
stores. It also allows enterprises to quickly bring AI to all their
data with minimal risk by replicating data from their existing
databases to Oracle Database 23ai where it can be vectorized and
indexed for fast AI search.
Accelerating App Development
- JSON Relational Unification: JSON Relational
Duality addresses the mismatch between how some applications want
to use data versus how relational databases store data. Developers
have been able to read and write relational data using SQL for
decades. Now they can also use JSON to easily retrieve and store
the same data using REST or native JSON APIs without compromising
the data consistency, storage efficiency, and flexibility inherent
in the relational data model. With JSON Relational Duality Views,
developers and customers no longer have to choose a single data
model for their data. They get the benefits of both the JSON and
relational data models on the same data.
- Graph Relational Unification: Operational Property
Graph enables developers to easily build applications that navigate
the connections between and within data using property graph
queries. Property Graph queries can run on top of all types of data
supported by Oracle Database including relational data, JSON data,
and spatial data. Developers can define a graph model directly on
operational data and query the graph using the new ISO standard
SQL/PGQ syntax. This makes it easier and faster to create
applications that analyze the connections, patterns, and relations
between data such as between multiple financial transactions.
- Free Developer Databases: Always Free Autonomous
Database provides two free Autonomous Database Serverless instances
in the cloud for an unlimited time, with pre-integrated tools
including Oracle APEX, Select AI, Database Tools, Machine Learning,
and Graph. The Autonomous Database Free container image and Oracle
Database Free now support Oracle Database 23ai, enabling developers
to easily download and try the newest features, including AI Vector
Search, JSON Relational Duality, and Operational Property Graph
with SQL.
Mission-Critical Data
- Oracle Globally Distributed Database with RAFT: Oracle
Globally Distributed Database allows data in the cloud to be stored
across multiple physical databases in multiple locations instead of
one database while exposing a single database image to
applications. It is used to achieve hyperscale and to help address
data residency and data sovereignty requirements. Now, RAFT
replication between the physical databases enables automatic
failover with zero data loss in single digit seconds. This is
critical when building cloud-scale distributed databases that must
achieve ultra-high scalability and availability. Integrating
replication inside the database with the RAFT-based protocol
simplifies the creation and administration of fault-tolerant
distributed databases and reduces the need for manual processes to
maintain active-active availability.
- Oracle True Cache: True Cache is an in-memory,
always consistent, application transparent, high-performance
middle-tier cache. Oracle True Cache improves application response
times while reducing the load on database servers. Unlike other
mid-tier caches, True Cache data is automatically kept
transactionally consistent at every point-in-time. True Cache does
not require developers to write code to populate and manage the
data in the cache, which makes it easy to deploy between
applications and the database. True Cache brings the rich
functionality of Oracle Database to mid-tier caches. All Oracle
SQL, JSON, and Graph query capabilities are available in True
Cache.
- In-Database SQL Firewall: Oracle SQL Firewall helps
protect databases against unauthorized SQL, including SQL injection
attacks. Built into Oracle Database 23ai, Oracle SQL Firewall
provides a scalable, performant, and difficult-to-bypass way to
address risks from hackers and compromised insider
accounts. In addition, organizations can use Oracle Data Safe
to manage multiple SQL firewalls to dramatically reduce the cost of
deployment.
"The rise of generative AI has seen a renewed emphasis on vector
databases as a highly efficient means of searching data, both in
unstructured and structured sources. However, as we know from
experience, isolated databases become yet another data resource to
manage and keep synchronized," said Carl
Olofson, research vice president, Data Management Software,
IDC. "With the need to fine tune LLMs with business data using RAG
techniques, out-of-date data is not acceptable. Oracle Database
23ai aims to solve this problem by enabling the coordination of
vectors with customer's data using AI Vector Search. It provides an
integrated set of functionality customers need to ground their
generative AI, keeping the content current and relevant as they
move from projects to production, leveraging all the advances
inherent in the database. With generative AI innovations in Oracle
Database 23ai, and specifically with AI Vector Search, Oracle has
given customers a great leap forward, providing an all-in-one
solution."
Additional Resources
- Watch the announcement video with Larry Ellison and Juan
Loaiza
- Register now for DatabaseWorld: AI Edition
- Try Oracle Database 23ai for free
- Read the technical blog
- Read what industry analysts are saying about Oracle
Database 23ai
About Oracle
Oracle offers integrated suites of
applications plus secure, autonomous infrastructure in the Oracle
Cloud. For more information about Oracle (NYSE: ORCL), please visit
us at www.oracle.com.
Trademarks
Oracle, Java, MySQL and NetSuite are
registered trademarks of Oracle Corporation. NetSuite was the first
cloud company—ushering in the new era of cloud computing.
View original content to download
multimedia:https://www.prnewswire.com/news-releases/oracle-database-23ai-brings-the-power-of-ai-to-enterprise-data-and-applications-302133959.html
SOURCE Oracle