Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Voyager serves as an admin package for Laravel, providing essential BREAD (Create, Read, Edit, Add, Delete) functionalities, a media manager, a menu construction tool, and a host of additional features. By streamlining your administrative duties, Voyager allows you to concentrate on what you excel at: developing your next amazing application! This package can significantly reduce the time you spend on backend tasks, making the app development process more enjoyable. Just like a warm, freshly baked loaf of BREAD, Voyager integrates seamlessly into your workflow! With its intuitive admin interface, you can effortlessly manage CRUD or BREAD operations for various elements within your database, including posts and pages. It also includes a comprehensive media manager that enables you to view, edit, and delete files stored in your application, ensuring all your assets are centralized and easily accessible whether you're using local storage or S3. Additionally, creating and managing menus for your site is a breeze, as the admin menu itself is crafted using Voyager's menu builder, allowing you to modify menu items with ease. Overall, Voyager is designed to enhance your productivity and make the web development experience smoother than ever.
Description
Voyage AI has unveiled voyage-code-3, an advanced embedding model specifically designed to enhance code retrieval capabilities. This innovative model achieves superior performance, surpassing OpenAI-v3-large and CodeSage-large by averages of 13.80% and 16.81% across a diverse selection of 32 code retrieval datasets. It accommodates embeddings of various dimensions, including 2048, 1024, 512, and 256, and provides an array of embedding quantization options such as float (32-bit), int8 (8-bit signed integer), uint8 (8-bit unsigned integer), binary (bit-packed int8), and ubinary (bit-packed uint8). With a context length of 32 K tokens, voyage-code-3 exceeds the limitations of OpenAI's 8K and CodeSage Large's 1K context lengths, offering users greater flexibility. Utilizing an innovative approach known as Matryoshka learning, it generates embeddings that feature a layered structure of varying lengths within a single vector. This unique capability enables users to transform documents into a 2048-dimensional vector and subsequently access shorter dimensional representations (such as 256, 512, or 1024 dimensions) without the need to re-run the embedding model, thus enhancing efficiency in code retrieval tasks. Additionally, voyage-code-3 positions itself as a robust solution for developers seeking to improve their coding workflow.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Voyager
Country
United States
Website
voyager.devdojo.com
Vendor Details
Company Name
MongoDB
Founded
2007
Country
United States
Website
blog.voyageai.com/2024/12/04/voyage-code-3/
Product Features
Content Management
Audio Content
No
Customizable Templates
No
Document Indexing
No
E-forms
No
Full Text Search
No
Image Editor
No
SEO Management
No
Text Editor
No
Version Control
No
Video Content
No
Website Management
No