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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:
- Content Processing: Your uploaded content is processed and indexed in your private database.
- Query Analysis: When someone asks your Al a question, our system analyzes the query.
- Relevant Retrieval: The system retrieves the most relevant information from your private database.
- Response Generation: A large language model uses the retrieved information to generate an accurate response.
- 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:
- Private Database: Your content is stored in isolated, encrypted storage that only you can access.
- No Training on Your Data Unlike other Al platforms, we never use your content to improve our base models.
- Encrypted Transmission: All data is encrypted.
- Access Controls: Granular permissions let you control exactly who can access your Al.
- 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.
- Easily Train Your Data: Simply upload documents, videos or images to begin your AI training.
- AI Tools: Use all the same tools as other AI apps including content creation, summary and feedback.
- Share Content: Give access to your AI to students, co-workers management or project collaborators.
- Monetize: Generate revenue from your AI Expertise through our Subscription features.
- Enter The Metaverse: Take advantage of 3D environments to enhance learning.