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Average Ratings 0 Ratings
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
API Access
Has API
Integrations
Apache Hive
Apache Spark
ChatGPT
Claude
Gemini
Google Chrome
Google Docs
Impala
Kinetica
MySQL
Integrations
Apache Hive
Apache Spark
ChatGPT
Claude
Gemini
Google Chrome
Google Docs
Impala
Kinetica
MySQL
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
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
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization