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Average Ratings 0 Ratings

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features
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support

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Description

Kortex is a browser extension that transforms Google’s NotebookLM into a cohesive and interactive repository of knowledge, enabling users to capture and organize essential insights that might otherwise be lost in chat histories and various tabs. With just one click, it allows for the archiving of complete AI conversations from platforms like ChatGPT, Gemini, Claude, and Perplexity, while also enabling the saving of any highlighted text from webpages as accurately cited references directly to NotebookLM. Furthermore, Kortex simplifies the process of exporting sources, chats, or curated notes in formats such as Markdown, JSON, or as a downloadable .zip file, and it seamlessly integrates with Google Docs, allowing for easy document transfers to NotebookLM. To enhance notebook management, Kortex provides the functionality to delete multiple notebooks simultaneously from the dashboard. Created with the goal of ensuring users can easily access their saved information and never overlook an idea again, Kortex can be installed within seconds and currently supports a growing community of users developing their own "second brain" for enhanced productivity and creativity. This innovative tool not only streamlines the organization of thoughts but also encourages users to harness their creativity in a more structured manner.

Description

Machine learning reveals concealed patterns and valuable insights within enterprise data, ultimately adding significant value to businesses. Oracle Machine Learning streamlines the process of creating and deploying machine learning models for data scientists by minimizing data movement, incorporating AutoML technology, and facilitating easier deployment. Productivity for data scientists and developers is enhanced while the learning curve is shortened through the use of user-friendly Apache Zeppelin notebook technology based on open source. These notebooks accommodate SQL, PL/SQL, Python, and markdown interpreters tailored for Oracle Autonomous Database, enabling users to utilize their preferred programming languages when building models. Additionally, a no-code interface that leverages AutoML on Autonomous Database enhances accessibility for both data scientists and non-expert users, allowing them to harness powerful in-database algorithms for tasks like classification and regression. Furthermore, data scientists benefit from seamless model deployment through the integrated Oracle Machine Learning AutoML User Interface, ensuring a smoother transition from model development to application. This comprehensive approach not only boosts efficiency but also democratizes machine learning capabilities across the organization.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Hive No 
Apache Spark No 
ChatGPT Yes 
Claude Yes 
Gemini Yes 
Gemini Notebook Yes 
Google Chrome Yes 
Google Docs Yes 
Impala No 
Kinetica No 
MySQL No 
Oracle Cloud Infrastructure No 
Oracle Database No 
Perplexity Yes 
PwC Check-In No 

Integrations

Apache Hive Yes 
Apache Spark Yes 
ChatGPT No 
Claude No 
Gemini No 
Gemini Notebook No 
Google Chrome No 
Google Docs No 
Impala Yes 
Kinetica Yes 
MySQL Yes 
Oracle Cloud Infrastructure Yes 
Oracle Database Yes 
Perplexity No 
PwC Check-In Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Kortex

Founded

2025

Country

USA

Website

yaksh1.github.io/Kortex-Landing-Page/

Vendor Details

Company Name

Oracle

Founded

1977

Country

United States

Website

www.oracle.com/data-science/machine-learning/

Product Features

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Alternatives

Alternatives

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