For the complete documentation index, see llms.txt. This page is also available as Markdown.
Technical Architecture
Overview
The Cortex AI Agent is built on top of the OpenAI Large Language Model (LLM) and utilizes cutting-edge natural language processing (NLP) and machine learning algorithms to deliver its capabilities.
- Data Ingestion Layer: Scans and indexes content from supported sources (markdown files, PDFs, YouTube videos, web pages).
- Knowledge Graph: Establishes relationships between content, enabling cross-referencing and context-aware responses.
- Query Processing Engine: Uses NLP models to understand user questions and retrieve the most relevant information.
- User Interface: Intuitive dashboard for accessing indexed content, conducting searches, and managing integrations.
Security and Privacy
Data privacy is a top priority for Cortex AI. The system uses encrypted storage for your content and ensures that all data processing is done locally or through secure, private cloud services.
- Data Encryption: All stored content is encrypted at rest and in transit.
- User Control: Users have full control over their data, with options to delete or export indexed content at any time.
- No Data Sharing: Cortex AI does not share your data with third parties.
