+
+

Related Products

  • Gemini Enterprise Agent Platform
    1,161 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • StackAI
    55 Ratings
    Visit Website
  • Google AI Studio
    41 Ratings
    Visit Website
  • NINJIO
    416 Ratings
    Visit Website
  • Anaconda
    625 Ratings
    Visit Website
  • Diplomat Managed File Transfer
    59 Ratings
    Visit Website
  • Retool
    598 Ratings
    Visit Website
  • ScreenMeet
    35 Ratings
    Visit Website

About

No one wants their AI to respond with out-of-date information to a customer. ‍Neum AI helps companies have accurate and up-to-date context in their AI applications. Use built-in connectors for data sources like Amazon S3 and Azure Blob Storage, vector stores like Pinecone and Weaviate to set up your data pipelines in minutes. Supercharge your data pipeline by transforming and embedding your data with built-in connectors for embedding models like OpenAI and Replicate, and serverless functions like Azure Functions and AWS Lambda. Leverage role-based access controls to make sure only the right people can access specific vectors. Bring your own embedding models, vector stores and sources. Ask us about how you can even run Neum AI in your own cloud.

About

fastText is an open source, free, and lightweight library developed by Facebook's AI Research (FAIR) lab for efficient learning of word representations and text classification. It supports both unsupervised learning of word vectors and supervised learning for text classification tasks. A key feature of fastText is its ability to capture subword information by representing words as bags of character n-grams, which enhances the handling of morphologically rich languages and out-of-vocabulary words. The library is optimized for performance and capable of training on large datasets quickly, and the resulting models can be reduced in size for deployment on mobile devices. Pre-trained word vectors are available for 157 languages, trained on Common Crawl and Wikipedia data, and can be downloaded for immediate use. fastText also offers aligned word vectors for 44 languages, facilitating cross-lingual natural language processing tasks.

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

Platforms Supported

Windows Not Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers searching for a platform to connect and sync data into vector stores for fast query and search

Audience

Language processing practitioners and researchers requiring a tool for learning word embeddings and building text classifiers

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Neum AI
www.neum.ai/

Company Information

fastText
fasttext.cc/

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
txtai

txtai

NeuML
GloVe

GloVe

Stanford NLP
word2vec

word2vec

Google
LexVec

LexVec

Alexandre Salle

Categories

AI Development Supported
Embedding Models Supported

Categories

Embedding Models Supported

Integrations

AWS Lambda Supported
Amazon S3 Supported
Azure Blob Storage Supported
Azure Functions Supported
ChatGPT Supported
GPT-3 Supported
GPT-3.5 Supported
GPT-4 Supported
Gensim Not Supported
JavaScript Not Supported
OpenAI Supported
Python Not Supported
Replicate Supported
WebAssembly Not Supported

Integrations

AWS Lambda Not Supported
Amazon S3 Not Supported
Azure Blob Storage Not Supported
Azure Functions Not Supported
ChatGPT Not Supported
GPT-3 Not Supported
GPT-3.5 Not Supported
GPT-4 Not Supported
Gensim Supported
JavaScript Supported
OpenAI Not Supported
Python Supported
Replicate Not Supported
WebAssembly Supported
Claim Neum AI and update features and information
Claim Neum AI and update features and information
Claim fastText and update features and information
Claim fastText and update features and information