> ## Documentation Index
> Fetch the complete documentation index at: https://docs.learningcommons.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Overview of Knowledge Graph: structured datasets that connect academic standards, curricula, and learning science. Learn about CSV/JSON exports and use cases for alignment, planning, and cross-state comparison.

export const GatedBadge = ({size = "md", children}) => {
  return <Badge color="orange" size={size} icon="lock">
      {children == null || children === "" ? "Gated" : typeof children === "string" ? children.trim() : children}
    </Badge>;
};

## What Knowledge Graph does

Knowledge Graph provides a structured collection of enriched educational datasets that connects academic standards, curricula, and learning science data.

It standardizes high-quality datasets with a unified schema, allowing edtech developers to focus on building AI-powered educational tools.

| Dataset category      | Description                                                      | Examples                                                                        |
| :-------------------- | :--------------------------------------------------------------- | :------------------------------------------------------------------------------ |
| Curriculum            | Lessons, activities, materials, and assessments from publishers. | [Illustrative Mathematics 360](https://illustrativemathematics.org/) ↗          |
| Academic Standards    | Hierarchical structures of state or national learning goals.     | State standards from [CASE Network 2](https://casenetwork.1edtech.org/) ↗       |
| Learning Progressions | Logical and usually sequential ordering of learning targets.     | [Student Achievement Partners' Coherence map](https://achievethecore.org/) ↗    |
| Learning Components   | Academic Standards broken down into concrete skills or concepts. | [ANet's learning component for K12 math](https://www.achievementnetwork.org/) ↗ |

Knowledge Graph datasets are modeled as graphs, using [entities](./core-concepts#entities) (the elements in the dataset) and [relationships](./core-concepts#relationships) (how these elements are connected).

## When to use Knowledge Graph

| Use case                            | Description                                                                                                                                                                                                                                                                                                                                    |
| :---------------------------------- | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Standards alignment                 | Identify how your content supports specific academic standards and create content rooted in learner competencies across all key subjects.                                                                                                                                                                                                      |
| Instructional planning              | Create dependencies, learning progressions, and content coverage, starting with math in the Common Core State Standards.                                                                                                                                                                                                                       |
| Compare state standards             | Adapt content aligned to one state standard to other states, initially in math across the Common Core State Standards and 15+ additional states.                                                                                                                                                                                               |
| Curriculum alignment <GatedBadge /> | Align your content or create additional materials aligned to the curriculum. To support these use cases, Knowledge Graph organizes educational information into a small set of structured datasets. Contact [support@learningcommons.org](mailto:support@learningcommons.org) ↗ for information about access to gated functionality like this. |

## How to access Knowledge Graph

Knowledge Graph is accessible in a variety of ways and is designed to be database-neutral, lightweight, and interoperable.

The local files in particular can be used across graph databases, relational systems, in-memory tools, and AI pipelines without requiring any specialized infrastructure.

| Access method    | Link                                                                                                                                                                                                                           | When to use                                                                                                                                                                                                                                                                    |
| :--------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Local files      | [`nodes.jsonl`](https://cdn.learningcommons.org/knowledge-graph/v1.9.0/exports/nodes.jsonl?ref=docs) ↗, [`relationships.jsonl`](https://cdn.learningcommons.org/knowledge-graph/v1.9.0/exports/relationships.jsonl?ref=docs) ↗ | For offline access, custom processing, or complex queries across graph databases, relational systems, in-memory tools, and AI pipelines. Preserves the structure of entities and relationships, and supports both deterministic joins and AI workflows like embeddings or RAG. |
| REST API         | [REST API docs](/api-reference/platform-api/overview)                                                                                                                                                                          | For real-time programmatic access to data in an application                                                                                                                                                                                                                    |
| MCP server       | [MCP server docs](/knowledge-graph/using-knowledge-graph/mcp-server)                                                                                                                                                           | For using natively with an LLM                                                                                                                                                                                                                                                 |
| Claude connector | [Claude connector docs](/knowledge-graph/using-knowledge-graph/claude-connector)                                                                                                                                               | For using Knowledge Graph directly with the Claude app                                                                                                                                                                                                                         |

We are continuing to expand these access patterns. Contact [support@learningcommons.org](mailto:support@learningcommons.org) ↗ to request other methods that would be useful for your workflows.