# 3. Platform Structure ### 3.1 Feeda Knowledge Base (KBS) The Feeda Knowledge Base (KBS) is a repository of curated, verified, and continuously updated information that serves as the foundation of Feeda’s AI ecosystem. The KBS combines human expertise with machine learning, ensuring that it offers relevant, factual, and contextually rich information. ### 3.2 Feeda AI Applications and Agents Network Feeda’s AI applications and agents work together within a unified network, drawing on the KBS to provide contextually aware responses across different use cases. This interconnected system allows applications and agents to learn from each other, creating a cohesive and responsive digital ecosystem for users. ### 3.3 Feeda aiOS: The Operating System for AI-Native Applications Feeda aiOS enables seamless interaction among Feeda’s applications and agents, providing a foundation for real-time knowledge sharing and personalized AI-driven experiences. Designed as the next-generation operating system, Feeda aiOS is tailored for continuous learning, personalization, and real-time user support. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://feeda.gitbook.io/litepaper/3.-platform-structure.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.