Seldon Documentation Resources

Real-time machine learning deployment with enhanced observability for any AI application or system, managed your way.

Find out more about Seldon at: seldon.io

Start with Core 2

Core 2 is a modular framework with a data-centric approach, designed to help businesses harness the growing complexities of real-time deployment and monitoring.

Get Started

Concepts of Core 2

Provides a framework for understanding key functionalities, architectures, and workflows within the Machine Learning system.

Install Core 2

Learn about installing Core 2 in various setups for different stages of development lifecycle.

Use MLServer with Core 2 Learn more about how Core 2 integrates seamlessly into your MLOps workflows.

Core 2 + Modules

Core 2

A modular, data-centric framework for scaling ML and LLMOps in production, keeping data in your control to meet security and compliance needs.

ML Server

Specialized lightweight API server that receives input data, run through trained models and returns predictions or outputs.

LLM Module

Deploy GenAI workflows with observability, prompt orchestration and production-ready scaling – with built-in and enabled guardrails.

Model Performance Metrics (MPM) Module

Optimize production classification & regression models with model quality insights.

Alibi Detect Module

Library of outlier, adversarial and drift detectors methods supported across a broad coverage of types of use cases.

Alibi Explain Module

Library of model inspection, interpretation and explanation methods across global, local, black box and white box models.

Other Solutions

Core 1 A cloud-agnostic, open-source platform for deploying machine learning models.

Enterprise Platform Provides oversight and governance for Machine Learning and LLM deployments.