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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Achieve greater precision in results with the Inbenta Semantic Search Engine, which comprehends the intent behind customer inquiries. As the most commonly utilized self-service feature, found on 85% of websites, the capability to present the most pertinent information can significantly impact the quality of the customer experience on your site. Inbenta Search aggregates information from various customer relationship management platforms like Salesforce.com and Zendesk, as well as other specified online sources. By leveraging Inbenta's Symbolic AI and Natural Language Processing technologies, this advanced semantic search system effectively interprets user questions, swiftly provides the best answers, and helps lower your support expenses. Furthermore, adopting Inbenta's Symbolic AI technology eliminates the need for extensive data training, allowing for rapid deployment and immediate advantages from the Inbenta Search engine. This means that businesses can enhance customer satisfaction while also streamlining their operational costs efficiently.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Genesys Cloud CX Yes 
JSON No 
My DSO Manager No 
NTT Cloud Communications Yes 
NiCE Workforce Management (WFM) Yes 
Oracle Database No 
SQL No 
Salesforce Yes 
TCS BaNCS Yes 
Zendesk Yes 

Integrations

Genesys Cloud CX No 
JSON Yes 
My DSO Manager Yes 
NTT Cloud Communications No 
NiCE Workforce Management (WFM) No 
Oracle Database Yes 
SQL Yes 
Salesforce No 
TCS BaNCS No 
Zendesk No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Inbenta

Founded

2005

Country

United States

Website

www.inbenta.com/en/products/search/

Vendor Details

Company Name

Oracle

Country

United States

Website

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

Alternatives

Alternatives