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Description
Lumafield's X-ray computed tomography system provides unparalleled insights into objects, revealing features that were previously hidden. With its innovative Neptune CT scanner, which is user-friendly and complemented by the Voyager cloud-based software, Lumafield removes the hassle from inspection processes, addressing challenges from the design phase all the way to mass production. This Neptune scanner is an essential tool for engineering teams, suitable for both offices and workshops, featuring an intuitive, AI-enhanced interface that enables anyone to conduct scans effortlessly. The Voyager software transforms these scans into measurable and actionable data, allowing users to visualize, analyze, and share insights in real-time simply through a web browser. Additionally, Lumafield's platform is ready for automation, facilitating comprehensive CT inspections on high-volume production lines, which enables thorough examination of every manufactured part, ensuring quality control and enhancing supply chain management. By fully integrating this technology into your workflow, you gain a competitive edge in maintaining product excellence.
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
API Access
Has API
Integrations
Elasticsearch
Milvus
Qdrant
Vespa
Weaviate
Pricing Details
$3,000 per month
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
Lumafield
Country
United States
Website
www.lumafield.com
Vendor Details
Company Name
MongoDB
Founded
2007
Country
United States
Website
blog.voyageai.com/2024/12/04/voyage-code-3/
Product Features
Engineering
2D Drawing
3D Modeling
Chemical Engineering
Civil Engineering
Collaboration
Design Analysis
Design Export
Document Management
Electrical Engineering
Mechanical Engineering
Mechatronics
Presentation Tools
Structural Engineering
