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What is Phase Change?

Our sophisticated AI reasoning engine navigates and analyzes the intricate details present in the extensive code that makes up your applications. This empowers developers to swiftly pinpoint the precise code they require. To effectively manage, adjust, or integrate the COBOL applications that are vital to your organization, it is crucial to comprehend every business process, data element, and decision-making component woven into your code. Colleague transforms your code into an indispensable knowledge repository through our logic-driven reasoning engine. Unlike generative AI, our solution offers both precision and clarity. Furthermore, you can explore and compare multiple scenarios by modifying parameters in real-time, ensuring the process remains manageable. This feature enhances your understanding of the potential consequences of modifications, promoting well-informed decision-making. As a result, you can confidently navigate complex coding environments while minimizing risks associated with changes.

What is Gemini Embedding 2?

The Gemini Embedding models, particularly the sophisticated Gemini Embedding 2, are a vital component of Google's Gemini AI framework, designed to convert text, phrases, sentences, and code into numerical vectors that capture their semantic essence. Unlike generative models that produce new content, these embedding models transform inputs into dense vectors that represent meaning mathematically, allowing for the analysis and comparison of information through conceptual relationships rather than just specific wording. This unique capability enables a wide range of applications, such as semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation processes. Furthermore, the model supports over 100 languages and can process inputs of up to 2048 tokens, which allows it to efficiently embed longer texts or code while maintaining a strong contextual understanding. As a result, the Gemini Embedding models significantly contribute to the effectiveness of AI-driven tasks in various industries, making them indispensable tools for modern applications. Their adaptability and robust performance highlight the importance of advanced embedding techniques in the evolving landscape of artificial intelligence.

Media

Media

Integrations Supported

COBOL
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Python

Integrations Supported

COBOL
Gemini
Gemini Enterprise
Gemini Enterprise Agent Platform
Google AI Studio
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Phase Change Software

Date Founded

2005

Company Location

United States

Company Website

phasechange.ai

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-embedding-2/

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Categories and Features

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