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Description

Oracle AI Vector Search is an innovative feature integrated into Oracle Database, specifically tailored for AI applications, which enables the querying of data based on its semantic meaning rather than relying solely on conventional keyword searches. This functionality empowers organizations to conduct similarity searches across both structured and unstructured datasets, allowing for retrieval of results that prioritize contextual relevance over precise matches. Employing vector embeddings to represent various forms of data—including text, images, and documents—it utilizes advanced vector indexing and distance metrics to quickly locate similar items. Moreover, it introduces a unique VECTOR data type along with SQL operators and syntax that enable developers to merge semantic searches with relational queries within a single database framework. As a result, this integration streamlines the data management process by negating the necessity for separate vector databases, ultimately minimizing data fragmentation and fostering a cohesive environment for both AI and operational data. The enhanced capability not only simplifies the architecture but also enhances the overall efficiency of data retrieval and analysis in complex AI workloads.

Description

With the help of AI, you can convert your semantic data into actionable insights that will help you make informed strategic decisions and shape your actions. As a leader in the field of Artificial Intelligence and a holder of advanced semantic data processing technologies, Synomia excels at transforming vast quantities of unstructured data into valuable insights, enabling brands to refine their strategies and activation processes. By analyzing significant and subtle market signals, you can uncover future trends that will guide your business direction. Additionally, our expertise allows us to pinpoint the most effective approaches for your digital strategies. We are proficient in all semantic AI technologies, applying them based on the specific needs of our clients, including supervised and unsupervised machine learning as well as rule-based systems. The capabilities of semantic AI empower the analysis of numerous sources and facilitate the development of methodologies focused on innovation and exploration, which are essential for creating strategies that resonate with target audiences. In today’s rapidly changing market, leveraging these insights is crucial for staying ahead of competitors and meeting consumer demands effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

JSON
My DSO Manager
Oracle Database
SQL

Integrations

JSON
My DSO Manager
Oracle Database
SQL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Oracle

Country

United States

Website

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

Vendor Details

Company Name

Synomia

Country

France

Website

www.synomia.com/en/

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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