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RAG With AI Technology Explained

RAG (Retrieval-Augmented Generation) is the key to our secure Al approach. Here's how it works:

1. Content Processing: Your uploaded content is processed and indexed in your private database.
2. Query Analysis: When someone asks your Al a question, our system analyzes the query.
3. Relevant Retrieval: The system retrieves the most relevant information from your private database.
4. Response Generation: A large language model uses the retrieved information to generate an accurate response.
5. Source Citation: Responses include citations to your original content for transparency and verification.

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Privacy & Security Architecture

Our platform is built with privacy and security as core principles:

1. Private Database: Your content is stored in isolated, encrypted storage that only you can access.
2. No Training on Your Data Unlike other Al platforms, we never use your content to improve our base models.
3. Encrypted Transmission: All data is encrypted.
4. Access Controls: Granular permissions let you control exactly who can access your Al.
5. Regular Audits: Our systems undergo regular security audits and penetration testing.

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Share/Authorize and Monetize

Share or authorize outside users to access your trained AI or monetize with paid subscription.

1. Easily Train Your Data: Simply upload documents, videos or images to begin your AI training.
2. AI Tools: Use all the same tools as other AI apps including content creation, summary and feedback.
3. Share Content: Give access to your AI to students, co-workers management or project collaborators.
4. Monetize: Generate revenue from your AI Expertise through our Subscription features.
5. Enter The Metaverse: Take advantage of 3D environments to enhance learning.