Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Vertex AI Reviews & Ratings
    743 Ratings
    Company Website
  • Parasoft Reviews & Ratings
    132 Ratings
    Company Website
  • Pipeliner CRM Reviews & Ratings
    740 Ratings
    Company Website
  • Paccurate Reviews & Ratings
    11 Ratings
    Company Website
  • Reflectiz Reviews & Ratings
    15 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    9 Ratings
    Company Website
  • Wiz Reviews & Ratings
    1,062 Ratings
    Company Website
  • Visual Lease Reviews & Ratings
    372 Ratings
    Company Website
  • NINJIO Reviews & Ratings
    393 Ratings
    Company Website
  • Sage Supply Chain Intelligence Reviews & Ratings
    70 Ratings
    Company Website

What is voyage-code-3?

Voyage AI has introduced voyage-code-3, a cutting-edge embedding model meticulously crafted to improve code retrieval performance. This groundbreaking model consistently outperforms OpenAI-v3-large and CodeSage-large by impressive margins of 13.80% and 16.81%, respectively, across a wide array of 32 distinct code retrieval datasets. It supports embeddings in several dimensions, including 2048, 1024, 512, and 256, while offering multiple 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 an extended context length of 32 K tokens, voyage-code-3 surpasses the limitations imposed by OpenAI's 8K and CodeSage Large's 1K context lengths, granting users enhanced flexibility. This model employs an innovative Matryoshka learning technique, allowing it to create embeddings with a layered structure of varying lengths within a single vector. As a result, users can convert documents into a 2048-dimensional vector and later retrieve shorter dimensional representations (such as 256, 512, or 1024 dimensions) without having to re-execute the embedding model, significantly boosting efficiency in code retrieval tasks. Furthermore, voyage-code-3 stands out as a powerful tool for developers aiming to optimize their coding processes and streamline workflows effectively. This advancement promises to reshape the landscape of code retrieval, making it a vital resource for software development.

What is LanceDB?

LanceDB is a user-friendly, open-source database tailored specifically for artificial intelligence development. It boasts features like hyperscalable vector search and advanced retrieval capabilities designed for Retrieval-Augmented Generation (RAG), as well as the ability to handle streaming training data and perform interactive analyses on large AI datasets, positioning it as a robust foundation for AI applications. The installation process is remarkably quick, allowing for seamless integration with existing data and AI workflows. Functioning as an embedded database—similar to SQLite or DuckDB—LanceDB facilitates native object storage integration, enabling deployment in diverse environments and efficient scaling down when not in use. Whether used for rapid prototyping or extensive production needs, LanceDB delivers outstanding speed for search, analytics, and training with multimodal AI data. Moreover, several leading AI companies have efficiently indexed a vast array of vectors and large quantities of text, images, and videos at a cost significantly lower than that of other vector databases. In addition to basic embedding capabilities, LanceDB offers advanced features for filtering, selection, and streaming training data directly from object storage, maximizing GPU performance for superior results. This adaptability not only enhances its utility but also positions LanceDB as a formidable asset in the fast-changing domain of artificial intelligence, catering to the needs of various developers and researchers alike.

Media

Media

Integrations Supported

Airtable
Amazon S3
Azure Blob Storage
Character.AI
Databricks Data Intelligence Platform
DuckDB
Elasticsearch
Google Cloud Storage
Harvey
IBM watsonx.data
JavaScript
LLMWare.ai
Milvus
Python
Ray
SQLite
Spark
TypeScript
Vercel
Vespa

Integrations Supported

Airtable
Amazon S3
Azure Blob Storage
Character.AI
Databricks Data Intelligence Platform
DuckDB
Elasticsearch
Google Cloud Storage
Harvey
IBM watsonx.data
JavaScript
LLMWare.ai
Milvus
Python
Ray
SQLite
Spark
TypeScript
Vercel
Vespa

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$16.03 per month
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

Voyage AI

Date Founded

2023

Company Location

United States

Company Website

blog.voyageai.com/2024/12/04/voyage-code-3/

Company Facts

Organization Name

LanceDB

Company Location

United States

Company Website

lancedb.com

Categories and Features

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Popular Alternatives

voyage-3-large Reviews & Ratings

voyage-3-large

Voyage AI

Popular Alternatives

Milvus Reviews & Ratings

Milvus

Zilliz
Codestral Embed Reviews & Ratings

Codestral Embed

Mistral AI