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What is Kortex?

Kortex is an innovative browser extension that turns Google’s NotebookLM into a unified and dynamic knowledge hub, allowing users to effectively capture and systematize vital insights that could easily be forgotten amidst chat histories and a multitude of tabs. With a simple click, it facilitates the archiving of entire AI dialogues from various platforms such as ChatGPT, Gemini, Claude, and Perplexity, while also allowing users to save highlighted text from web pages as accurately cited references directly into NotebookLM. Additionally, Kortex makes it easy to export sources, conversations, or organized notes in different formats like Markdown, JSON, or as downloadable .zip files, and it integrates seamlessly with Google Docs for convenient transfers to NotebookLM. To improve notebook management, Kortex offers the ability to delete several notebooks at once from the dashboard. Designed with the intention of helping users effortlessly access their saved information and ensuring that no idea is overlooked, Kortex can be installed in mere seconds and caters to a growing community of users who are crafting their own "second brain" to boost productivity and creativity. This remarkable tool not only simplifies the arrangement of thoughts but also inspires users to channel their creativity in a more organized way, ultimately transforming the way they interact with information and ideas. By incorporating features that enhance user experience, Kortex is steadily becoming an essential resource for anyone looking to optimize their knowledge management.

What is Amazon SageMaker Model Building?

Amazon SageMaker provides users with a comprehensive suite of tools and libraries essential for constructing machine learning models, enabling a flexible and iterative process to test different algorithms and evaluate their performance to identify the best fit for particular needs. The platform offers access to over 15 built-in algorithms that have been fine-tuned for optimal performance, along with more than 150 pre-trained models from reputable repositories that can be integrated with minimal effort. Additionally, it incorporates various model-development resources such as Amazon SageMaker Studio Notebooks and RStudio, which support small-scale experimentation, performance analysis, and result evaluation, ultimately aiding in the development of strong prototypes. By leveraging Amazon SageMaker Studio Notebooks, teams can not only speed up the model-building workflow but also foster enhanced collaboration among team members. These notebooks provide one-click access to Jupyter notebooks, enabling users to dive into their projects almost immediately. Moreover, Amazon SageMaker allows for effortless sharing of notebooks with just a single click, ensuring smooth collaboration and knowledge transfer among users. Consequently, these functionalities position Amazon SageMaker as an invaluable asset for individuals and teams aiming to create effective machine learning solutions while maximizing productivity. The platform's user-friendly interface and extensive resources further enhance the machine learning development experience, catering to both novices and seasoned experts alike.

Media

Media

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
ChatGPT
Claude
Docker
Gemini
GitHub
Google Chrome
Google Cloud AutoML
Google Docs
Jupyter Notebook
MXNet
NotebookLM
Perplexity
PyTorch
Python
R
R Markdown
TensorFlow

Integrations Supported

Amazon SageMaker
Amazon Web Services (AWS)
ChatGPT
Claude
Docker
Gemini
GitHub
Google Chrome
Google Cloud AutoML
Google Docs
Jupyter Notebook
MXNet
NotebookLM
Perplexity
PyTorch
Python
R
R Markdown
TensorFlow

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kortex

Date Founded

2025

Company Location

USA

Company Website

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

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/sagemaker/build/

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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