LexVecAlexandre Salle
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About
LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. Evaluations demonstrate that LexVec matches or outperforms other models like word2vec in terms of word similarity and analogy tasks. The implementation is open source under the MIT License and is available on GitHub.
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About
ZeroEntropy is a search and retrieval platform built to deliver faster, more accurate, human-level search experiences. It provides cutting-edge rerankers, embeddings, and hybrid retrieval models that go beyond traditional lexical and vector search. ZeroEntropy focuses on understanding context, nuance, and domain-specific meaning rather than just keywords. Its models consistently outperform leading alternatives on industry benchmarks. Developers can integrate ZeroEntropy quickly using a simple, production-ready API. The platform is optimized for low latency, high accuracy, and cost efficiency. ZeroEntropy enables teams to ship search systems that actually return the right answers.
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Platforms Supported
Windows
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Mac
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Linux
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Cloud
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On-Premises
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iPhone
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Computational linguists and NLP researchers searching for a tool to improve their semantic analysis and language modeling
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Audience
ZeroEntropy is ideal for developers, AI teams, and enterprises building advanced search, retrieval, and agentic systems that require high accuracy, low latency, and semantic understanding
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Support
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24/7 Live Support
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Online
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Support
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API
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API
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Pricing
Free
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Pricing
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Reviews/
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Training
Documentation
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Training
Documentation
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Webinars
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Company InformationAlexandre Salle
Brazil
github.com/alexandres/lexvec
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Company InformationZeroEntropy
Founded: 2024
United States
www.zeroentropy.dev
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