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What is Oracle AI Vector Search?

Oracle AI Vector Search represents a groundbreaking advancement within the Oracle Database, designed specifically for artificial intelligence initiatives, as it facilitates data queries grounded in semantic significance instead of traditional keyword-based methods. This innovative capability allows businesses to perform similarity searches across both structured and unstructured datasets, ensuring that the results they obtain emphasize contextual relevance rather than just exact matches. By using vector embeddings to encapsulate various data types—including text, images, and documents—it employs sophisticated vector indexing and distance measurement techniques to efficiently identify similar items. Furthermore, this feature introduces a distinct VECTOR data type along with tailored SQL operators and syntax, empowering developers to seamlessly integrate semantic searches with relational queries within a unified database environment. Consequently, this integration simplifies the overall data management process, eliminating the need for separate vector databases, which significantly reduces data fragmentation and encourages a more unified setting for both AI and operational data. The enhanced functionalities not only streamline the architecture but also significantly boost the efficiency of data retrieval and analysis, making it particularly beneficial for managing intricate AI workloads, thereby positioning organizations to leverage their data more effectively.

What is Cloaked AI?

Cloaked AI protects sensitive AI data through advanced encryption methods while ensuring it remains accessible. It allows for the secure encryption of vector embeddings stored in databases, meaning that only those with the correct key can search through these vectors. This strategy successfully prevents inversion attacks and other risks aimed at retrieval-augmented generation (RAG) systems, facial recognition technologies, and more, significantly boosting data security. In a time when the reliability of AI applications faces ongoing evaluation, these protective measures play an essential role in maintaining trust and integrity. Moreover, as the use of AI continues to expand, the necessity for robust security protocols becomes even more critical.

Media

Media

No images available

Integrations Supported

JSON
My DSO Manager
Oracle Database
SQL

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$599/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Oracle

Company Location

United States

Company Website

www.oracle.com/database/ai-vector-search/

Company Facts

Organization Name

IronCore Labs

Date Founded

2015

Company Location

United States

Company Website

ironcorelabs.com

Categories and Features

Semantic Search

Not specified

Vector Databases

Not specified

Categories and Features

AI Security

Not specified

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