> ## 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.

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      {children == null || children === "" ? "Gated" : typeof children === "string" ? children.trim() : children}
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## 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                                                                                         |
| :-------------------- | :--------------------------------------------------------------- | :----------------------------------------------------------------------------------------------- |
| Academic Standards    | Hierarchical structures of state or national learning goals.     | [CASE Network 2](https://casenetwork.1edtech.org/) ↗'s state standars                            |
| Learning Components   | Academic Standards broken down into concrete skills or concepts. | [Achievement Network's learning components for K-12 math](https://www.achievementnetwork.org/) ↗ |
| Learning Progressions | Logical and usually sequential ordering of learning targets.     | [Student Achievement Partners' Coherence map](https://achievethecore.org/) ↗                     |
| Curriculum            | Lessons, activities, materials, and assessments from publishers. | [IM v.360®](https://illustrativemathematics.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                                                                                                                                                                                                                                                                         | Examples                                                                                                                                                                                                                                                                                                                                                                                     |
| :--------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Align content to standards**                 | Create content rooted in [Academic Standards](/knowledge-graph/entity-and-relationship-reference/academic-standards) and learner competencies across subjects.                                                                                                                      | Replace fragmented infrastructure with a single, trusted source of standards data: <ul><li>Populate a standards menu (i.e., 50 states across subjects)</li><li>Use standards as context when generating AI outputs</li><li>Integrate standards data with your CMS</li></ul>                                                                                                                  |
| **Plan instructional content**                 | Use dependencies ([Learning Progressions](/knowledge-graph/entity-and-relationship-reference/learning-progressions)) and granular skills ([Learning Components](/knowledge-graph/entity-and-relationship-reference/learning-components)) to inform instructional content and plans. | <ul><li>Group students more effectively by looking at the skills they've mastered</li><li>Give each student their own instance of a knowledge model graph, with a score for each node (Learning Component)</li><li>Build a teachers dashboard that gives grounded AI recommendations on lesson plans and identifies gaps in prerequisite skills</li><li>Give more precise feedback</li></ul> |
| **Compare standards across states**            | Use [Standards Crosswalks](/knowledge-graph/entity-and-relationship-reference/standards-crosswalks) to adapt content aligned to one state standard to other states'.                                                                                                                | Outsource the burden of managing standards across states: <ul><li>Align content across all states you serve</li><li>Reduce maintenance burden on internal systems</li><li>Share content across state lines with automatic remapping to local standards</li></ul>                                                                                                                             |
| **Align content to curriculum** <GatedBadge /> | Create or use educational materials that are aligned to official curricula<br /><br />[Contact us](mailto:support@learningcommons.org) ↗ to get access to this gated functionality.                                                                                                 | <ul><li>Feed lesson narratives, instructional routines, and Learning Components into LLM prompts to generate parent-facing activities</li><li>Map student performance data to standards</li><li>Use IM misconceptions to generate differentiated lesson plans and support RTI workflows</li></ul>                                                                                            |
| **Deliver personalized assessments**           | Build adaptive experiences that go beyond content delivery into diagnostic assessment.                                                                                                                                                                                              | <ul><li>Combine curricular data with student data to help teachers plan targeted weekly interventions</li><li>Combine Academic Standards and Learning Components with student data to prepare teachers for observation and coaching</li></ul>                                                                                                                                                |

## 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                                                               | When to use                                                                                                                                                                                                                                                                    |
| :-------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [Local files](/knowledge-graph/using-knowledge-graph/local-files)           | 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](/knowledge-graph/using-knowledge-graph/rest-api)                 | For real-time programmatic access to data in an application                                                                                                                                                                                                                    |
| [MCP server](/knowledge-graph/using-knowledge-graph/mcp-server)             | For using natively with an LLM                                                                                                                                                                                                                                                 |
| [Claude connector](/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.