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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Licensed under Apache v2, Datafari is a comprehensive business search engine that provides a variety of connectors and user-friendly interfaces for both users and administrators. Additionally, it incorporates enterprise security protocols while also offering a commercial option that includes support services. In essence, Datafari offers a unique advantage by being one of the few packaged solutions available under the Apache license, effectively removing barriers for companies wishing to develop and market their own products based on similar technologies. With Datafari, this potential is fully realized, and it stands out as the sole solution capable of integrating SolrCloud, which allows for seamless scalability. Numerous clients are already benefiting from Datafari's implementation, with executable files accessible on the reference site dedicated to it. Furthermore, the source code can be found on GitHub, and users are encouraged to engage with the community through the Datafari forum for support and discussion. This collaborative approach not only enhances user experience but also fosters innovation within the Datafari ecosystem.

Description

Discover the transformative capabilities of large language models as they redefine Natural Language Processing (NLP) through Spark NLP, an open-source library that empowers users with scalable LLMs. The complete codebase is accessible under the Apache 2.0 license, featuring pre-trained models and comprehensive pipelines. As the sole NLP library designed specifically for Apache Spark, it stands out as the most widely adopted solution in enterprise settings. Spark ML encompasses a variety of machine learning applications that leverage two primary components: estimators and transformers. Estimators possess a method that ensures data is secured and trained for specific applications, while transformers typically result from the fitting process, enabling modifications to the target dataset. These essential components are intricately integrated within Spark NLP, facilitating seamless functionality. Pipelines serve as a powerful mechanism that unites multiple estimators and transformers into a cohesive workflow, enabling a series of interconnected transformations throughout the machine-learning process. This integration not only enhances the efficiency of NLP tasks but also simplifies the overall development experience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ALBERT
APIFuzzer
Apache Spark
BERT
Conda
Databricks
ELMO
Facebook
Flair
Java
OpenAI
OpenAI Whisper
Python
R
RoBERTa
Scala
T5
TensorFlow
XLNet
spaCy

Integrations

ALBERT
APIFuzzer
Apache Spark
BERT
Conda
Databricks
ELMO
Facebook
Flair
Java
OpenAI
OpenAI Whisper
Python
R
RoBERTa
Scala
T5
TensorFlow
XLNet
spaCy

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

France Labs

Founded

2011

Country

France

Website

www.francelabs.com

Vendor Details

Company Name

John Snow Labs

Country

United States

Website

sparknlp.org

Product Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

Insight Engines

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

Product Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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