Introduction
What is Oracle Storage?
Oracle Storage is a cloud-based service provided by Oracle that offers secure and scalable storage solutions for businesses. It allows users to store, manage, and retrieve data efficiently, making it suitable for backup, archiving, and enterprise data applications. Ideal for professionals needing reliable, high-performance storage.
What is CogniVis AI?
CogniVis AI is a platform that enables you to pull data from different
sources and combine them with each other to
create practically useful AI tools. Sources may include
your internal company knowledgebase and a variety of
most popular business apps like GitHub, Jira, Slack,
and more.
This enables you to easily create
AI chatbot assistants (internal),
custom generators and even
embeddable AI chat widgets trained on your data.
How CogniVis AI works with Oracle Storage?
The Oracle Storage Connector integrates seamlessly with your Oracle Cloud storage buckets, enabling efficient retrieval and management of stored data for analysis, backup, or further processing.
What exact sources are pulled:
- Files and Objects
- File name
- File size
- Last modified date
- Storage tier (only if specified)
- File URL (only if public)
- Metadata
- Custom metadata tags (only if set)
- Object type (e.g., JSON, CSV, image) (only if identified)
- Content type (only if defined)
- Bucket Information
- Bucket name
- Creation date (only if logged)
- Region
- Access policies (only if configured)
Configuration
Generate a Personal Access Token
To connect CogniVis AI with GitLab, you need to generate a Personal Access Token in GitLab. This token will be used to authenticate the connection between CogniVis AI and GitLab. See the detailed instructions in the GitLab Personal Access Tokens guide.
Sign In
Sign into your GitLab account.
Navigate to Token Settings
Go to your Profile Settings. Select Access Tokens in the left sidebar.
Open token generation pageGenerate a new token
Click on Add new token button
- Name your token something like "CogniVis Connector".
- Set the expiration date. Remember to generate a new token when this one expires.
- Choose the desired scopes for your project. You can find additional details here.
Add the connector to CogniVis
Navigate to CogniVis Connectors
In CogniVis, go to Admin Panel, then in the sidebar choose Add connector. You will find the GitLab connector setup page there.
Open GitLab connector setup pageAdd your GitHub token
Add your GitHub token & save it.
Specify the repo
Specify the repositories you want to Index by inputing the owner and repository names.
Free trial
If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.
book a demoOn-premise
Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.
This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.
Contact our team & learn about options of deploying this connector on premise.
book a demo learn more about on-premise aiUse cases
Check out potential benefits and use cases for this connector.
Enhanced Data Retrieval Efficiency
By connecting Oracle Storage to CogniVis AI, users can automate the retrieval of files and objects based on specific criteria such as file name, size, or last modified date. This allows businesses to streamline data access and improve the efficiency of their data management processes.
Automated Backup Management
Leverage AI to set up automated backup routines by analyzing and categorizing files based on metadata, storage tier, and access policies. This ensures that essential data is consistently backed up without manual intervention, reducing the risk of data loss.
Intelligent Data Archiving
CogniVis AI can analyze metadata and file types to determine which files are suitable for archiving. By automating archiving decisions, businesses can optimize storage costs and ensure compliance with data retention policies.
Custom Reporting and Analytics
With access to metadata and bucket information, AI can generate detailed reports and analytics on storage usage, file types, and access patterns. This provides valuable insights for decision-makers to optimize storage resources and plan for future growth.
Improved Security Management
AI can monitor access policies and automatically detect potential security issues or unauthorized access attempts. This proactive approach helps in maintaining data integrity and compliance with security standards.
Dynamic Content Management
By analyzing content types and custom metadata tags, AI can automatically categorize and organize files, making it easier for users to locate and manage specific types of content like images, JSON files, or CSVs.
Scalable Data Processing
AI tools can process large datasets stored in Oracle Storage, performing tasks such as data cleansing, transformation, and aggregation. This capability is crucial for businesses looking to harness big data for strategic insights.
Optimized Storage Utilization
By evaluating storage tier information, AI can recommend optimal storage solutions based on usage patterns, ensuring cost-effective storage without compromising on performance or accessibility.
Automated Compliance Monitoring
AI can continuously monitor and verify that data handling practices meet regulatory compliance requirements, using metadata and access policy details to ensure adherence to industry standards.
Enhanced Collaboration and Sharing
AI can facilitate collaboration by managing public file URLs and sharing access policies, ensuring that the right stakeholders have access to necessary data while maintaining security and privacy controls.