# About - [Production-ready ML Serving Framework](https://docs.seldon.ai/seldon-core-2/about/readme.md): Discover Seldon Core 2, a Kubernetes-native MLOps framework for deploying ML and LLM systems at scale. Features flexible architecture, standardized workflows, and enhanced observability. - [Seldon Core Features](https://docs.seldon.ai/seldon-core-2/about/core-features.md): Explore the enterprise MLOps capabilities of Core 2 for production ML deployment, featuring model serving, pipeline orchestration, and intelligent resource management for scalable ML systems. - [Concepts](https://docs.seldon.ai/seldon-core-2/about/concepts.md): Learn how Seldon Core is different from a centralized orchestrator to a data flow architecture, enabling more efficient ML model deployment through stream processing and improved data handling. - [Architecture](https://docs.seldon.ai/seldon-core-2/about/architecture.md): Learn about the Seldon Core 2 microservice architecture, control plane and data plane components, and how these services work to provide a scalable, fault-tolerant ML model serving and management. --- # 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://docs.seldon.ai/seldon-core-2/about.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.