word2vec

word2vec

Google
+
+

Related Products

  • Vertex AI
    827 Ratings
    Visit Website
  • DNSimple
    73 Ratings
    Visit Website
  • ShareMyToolbox
    41 Ratings
    Visit Website
  • Striven
    226 Ratings
    Visit Website
  • Pipeliner CRM
    748 Ratings
    Visit Website
  • StackAI
    49 Ratings
    Visit Website
  • InEight
    117 Ratings
    Visit Website
  • RaimaDB
    10 Ratings
    Visit Website
  • RedFlag
    133 Ratings
    Visit Website
  • ND Wallet
    14 Ratings
    Visit Website

About

Voyage AI has unveiled voyage-3-large, a cutting-edge general-purpose and multilingual embedding model that leads across eight evaluated domains, including law, finance, and code, outperforming OpenAI-v3-large and Cohere-v3-English by averages of 9.74% and 20.71%, respectively. Enabled by Matryoshka learning and quantization-aware training, it supports embeddings of 2048, 1024, 512, and 256 dimensions, along with multiple quantization options such as 32-bit floating point, signed and unsigned 8-bit integer, and binary precision, significantly reducing vector database costs with minimal impact on retrieval quality. Notably, voyage-3-large offers a 32K-token context length, surpassing OpenAI's 8K and Cohere's 512 tokens. Evaluations across 100 datasets in diverse domains demonstrate its superior performance, with flexible precision and dimensionality options enabling substantial storage savings without compromising quality.

About

Word2Vec is a neural network-based technique for learning word embeddings, developed by researchers at Google. It transforms words into continuous vector representations in a multi-dimensional space, capturing semantic relationships based on context. Word2Vec uses two main architectures: Skip-gram, which predicts surrounding words given a target word, and Continuous Bag-of-Words (CBOW), which predicts a target word based on surrounding words. By training on large text corpora, Word2Vec generates word embeddings where similar words are positioned closely, enabling tasks like semantic similarity, analogy solving, and text clustering. The model was influential in advancing NLP by introducing efficient training techniques such as hierarchical softmax and negative sampling. Though newer embedding models like BERT and Transformer-based methods have surpassed it in complexity and performance, Word2Vec remains a foundational method in natural language processing and machine learning research.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies wanting a solution providing cost-effective embedding models for legal document analysis, financial data processing, and code retrieval

Audience

Researchers, data scientists, and developers working in natural language processing (NLP) and machine learning who need efficient word embeddings for text analysis and semantic understanding

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MongoDB
Founded: 2007
United States
blog.voyageai.com/2025/01/07/voyage-3-large/

Company Information

Google
Founded: 1998
United States
code.google.com/archive/p/word2vec/

Alternatives

Alternatives

Voyage AI

Voyage AI

MongoDB
Gensim

Gensim

Radim Řehůřek
voyage-4-large

voyage-4-large

Voyage AI
GloVe

GloVe

Stanford NLP
Codestral Embed

Codestral Embed

Mistral AI
LexVec

LexVec

Alexandre Salle

Categories

Categories

Integrations

Cohere
Gensim
LangChain
OneSignal
PyTorch
Snowflake
Voyage AI

Integrations

Cohere
Gensim
LangChain
OneSignal
PyTorch
Snowflake
Voyage AI
Claim voyage-3-large and update features and information
Claim voyage-3-large and update features and information
Claim word2vec and update features and information
Claim word2vec and update features and information