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Average Ratings 0 Ratings

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ease
features
design
support

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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

Nearly every search query related to Big Data yields an overwhelming number of results, making it nearly unmanageable to sift through them effectively. Individual users possess distinct requirements, and relying solely on user queries alongside broad data statistics often fails to yield valuable outcomes. Fields such as eDiscovery, healthcare, finance, law enforcement, consulting, and academia require the capability to swiftly locate precise information. Rinalogy Search is an advanced search solution that employs machine learning to adaptively learn from each user, delivering personalized results informed by real-time user feedback. It provides relevancy scores for each document retrieved in response to a query, enhancing the search experience. Furthermore, Rinalogy Search can be integrated into clients' IT systems, ensuring proximity to data while maintaining security through firewall protection. Users can also prioritize search concepts by assigning them weights, facilitating a more targeted approach to finding the information they need. This innovative tool empowers users to navigate complex datasets with greater efficiency and accuracy than ever before.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

SQL
Bing
Elasticsearch
Google
JSON
Microsoft SharePoint
MongoDB
MongoDB Atlas
My DSO Manager
MySQL
Oracle Database
PostgreSQL

Integrations

SQL
Bing
Elasticsearch
Google
JSON
Microsoft SharePoint
MongoDB
MongoDB Atlas
My DSO Manager
MySQL
Oracle Database
PostgreSQL

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$50 per month
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

Rinalogy

Country

United States

Website

www.rinalogy.com/search

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Alternatives

Alternatives