--- sourceDocument: Yokohama Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/yokohama/intelligent-experiences Release : - yokohama ft:locale : - en-US ft:publication_title : - Yokohama Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Exploring Knowledge Graph # Exploring Knowledge Graph {#ariaid-title1} Release version: Yokohama Updated July 31, 2025 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 4 minutes to read Summarize ![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete. ## Summary of Exploring Knowledge Graph ServiceNow Knowledge Graph enhances the Now Platform by creating a semantic, connected representation of enterprise data as entities and their relationships. This graph-based structure adds context and meaning to raw data, enabling intelligent search, personalized AI experiences, and faster, data-driven decision-making. It powers capabilities such as Now Assist Virtual Agent, AI Agents, and AI Search by linking data across the platform and embedding semantic understanding. Show full answer Show less ## Key Features * **Natural Language Queries:** Users can ask conversational questions about structured ServiceNow data, such as "Who is my manager?" or "What's the status of my incident?" * **User Context:** Provides personalized responses by using role, department, or location context in Now Assist Virtual Agent and AI Agents. * **Slot Filling:** Automatically populates known information in forms or chat interactions, reducing user effort and streamlining conversations. * **Smarter AI Agents:** AI Agents can retrieve insights and relationships directly from the Knowledge Graph to automate actions and improve response accuracy. * **Integration with Workflow Data Fabric:** Enables secure, real-time, unified access to data from any source without duplication, supporting faster, data-rich workflows. * **Knowledge Graph Designer:** A no-code interface for Knowledge Graph administrators to create, customize, and manage graph schemas---defining nodes (entities), edges (relationships), and properties---while auditing query results and monitoring performance. * **Prebuilt Integrations:** Out-of-the-box connections with Now Assist Virtual Agent, AI Agents, and other ServiceNow applications allow seamless AI-driven workflows and personalized user experiences with robust data governance. ## Intended Users * **Knowledge Graph Admins (kgadmin):** Manage and customize Knowledge Graph schemas using the Designer tool to tailor data models to organizational needs. * **Requesters:** Benefit from personalized, accurate answers and simplified interactions through prebuilt integrations with Virtual Agent and AI capabilities. ## Benefits * **Enhanced User Experience:** Delivers accurate, context-rich information with minimal effort for end users. * **Ease of Use and Management:** Simplifies the creation and editing of complex data models representing entities and their relationships. * **Customization and Testing:** Enables copying and modifying existing schemas and testing queries to ensure correct behavior before deployment. * **Efficient Data Access:** Leverages Workflow Data Fabric to access data securely and efficiently without duplication. ## Next Steps for Customers To maximize the value from Knowledge Graph, customers should explore configuring and managing graph schemas using the Knowledge Graph Designer, integrate Knowledge Graph with Now Assist and AI Agents for personalized interactions, and leverage Workflow Data Fabric for unified data access across the platform. Knowledge Graph provides a connected representation of data that maps entities and their relationships, adding context and meaning to information to enable intelligent search, insights, and AI-driven experiences. ## Knowledge Graph overview {#exploring-knowledge-graph__cf-exploring-parent-overview} ServiceNow Knowledge Graph application enhances the Now Platform by creating a semantic layer that connects data, relationships, and context across the enterprise. It structures information as a graph of entities and connections, bringing context and meaning to the available raw data. By leveraging AI, it powers personalized and intelligent experiences across the Now Assist ecosystem including Now Assist Virtual Agent, AI Agents, and AI Search to deliver more relevant insights and automation. By linking data and embedding semantic meaning, ServiceNow Knowledge Graph transforms raw data into actionable knowledge, fueling faster resolutions, richer insights, and more personalized AI-powered experiences. ServiceNow Knowledge Graph application: 1. Natural language queries: Allow users to query structured ServiceNow data conversationally---for example, "Who is my manager?", "What's the status of my incident?", or "What assets are assigned to me." 2. User context: Provide Now Assist Virtual Agent and AI Agents with contextual information such as role, department, or location to deliver personalized and relevant responses. 3. Slot-filing: Simplify user interactions by automatically populating known information in forms or chat requests, reducing effort and friction. 4. Smarter AI Agents: Empower agents to retrieve insights, facts, and relationships directly from the knowledge graph to automate actions and improve accuracy. 5. Integration with Workflow Data Fabric: Use an integrated data layer that gives real-time, secure, and unified access to data from any source without duplicating it, enabling faster, data-rich workflows across the platform. {#exploring-knowledge-graph__ol_pl1_fj2_xgc} ## Knowledge Graph components {#exploring-knowledge-graph__section_o1b_fj2_xgc} ServiceNow Knowledge Graph is a graphical representation of real-world entities (tables) and their relationships, stored in a database. Each graphical representation is called as a Knowledge Graph Schema that consist of relevant entities called nodes. The relationship between each entity is called an edge. To create, edit and manage Knowledge Graph schemas for your specific use cases, ServiceNow Knowledge Graph has introduced, Knowledge Graph designer. Users can use these schema to customize and extend Knowledge Graph integrations with Now Assist Virtual Agent and AI agents, and Now Assist Panel. Servicenow also provides some Prebuilt integrations, that connect the Knowledge Graph with Now Assist Virtual Agent and AI agents, and other ServiceNow applications, enabling seamless AI-powered workflows and personalized experiences. ## Knowledge Graph Designer {#exploring-knowledge-graph__section_nbp_nxd_p2c} Knowledge Graph Designer is a dedicated, no-code UI where Knowledge Graph administrators (kg_admins) can effortlessly: * Design and manage Knowledge Graph schemas, and configure the related nodes (tables), properties (columns), and their relationships. * Analyze results of the Knowledge Graph APIs integrated in downstream products by auditing the schema using natural language queries and achieved responses. {#exploring-knowledge-graph__ul_ft1_4cx_42c} The Knowledge Graph Designer streamlines the entire process, from schema creation and data ingestion to performance monitoring and results analysis. The new approach confirms a scalable, flexible, and intuitive way for Knowledge modeling. ## Prebuilt Integrations {#exploring-knowledge-graph__section_tvw_wxd_p2c} By unifying Knowledge across platforms and integrating with Now Assist, AI Search, AI agents, and skill kit, the prebuilt integrations of Knowledge Graph helps the customer drive productivity, enhance decision-making, and unlock the full potential of enterprise data, while maintaining robust data governance and permission controls. In this release, the available prebuilt integrations are: 1. Integration with Now Assist Virtual Agent and AI agents for User Context: Helps users with personalized responses. 2. Integration with Now Assist Virtual Agent for Slot filling: Helps pre-fill the slots for Virtual Agent topics using the Natural Language Querying feature of Knowledge Graph. 3. Integration with Now Assist Virtual Agent for Employee schema: Helps requesters with personalized responses on people queries and Natural Language queries. Also supports people citation card. By default the user NLQ graph is connected which is used for people queries but you also have sample graph schema for other employee queries. To see more sample graphs for employee queries refer, [KB article](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB2069778). 4. Integration with AI agents as a tool: Used to retrieve results in Natural Language and perform follow up tasks that are assigned to the AI agents. {#exploring-knowledge-graph__ol_i15_qcx_42c} ## Knowledge Graph users {#exploring-knowledge-graph__cf-exploring-parent-users} {#exploring-knowledge-graph__table_mkn_tz2_xcc__entry__3} | User role | KG Functionality | Description | |-|-|-| | Knowledge Graph Admin (kg_admin) | Knowledge Graph Designer | The Knowledge Graph Admin can create and manage Knowledge Graph schemas. | | Requester | Prebuilt integration with Virtual Agent and Agentic AI | Helps requesters with personalized answers and fewer conversation turns with pre-filled slots for LLM topics and skills. | [Table 1. Knowledge Graph users] {#exploring-knowledge-graph__table_mkn_tz2_xcc} ## Knowledge Graph benefits {#exploring-knowledge-graph__cf-exploring-parent-benefits} {#exploring-knowledge-graph__table_pkn_tz2_xcc__entry__3} | Benefit | Feature | Users | |-|-|-| | Enhance user experience (with prebuilt integration for downstream products like Now Assist Virtual Agent and Agentic AI) | Provides accurate data with minimal user effort. | Requester | | Simple and easy to use | Creates a complex data model called Knowledge Graph schema with numerous entities and their relation within a few steps. | kg_admin | | Easy to manage | Editing Knowledge Graph schemas to add new nodes or edges is simple. | kg_admin | | Customizable Knowledge Graph schema | Provides an option to copy the ServiceNow Knowledge Graph schemas for customization. | kg_admin | | Test a Knowledge Graph schema | Provides an option to test a Knowledge Graph schema by running a query. | kg_admin | | Use Workflow Data Fabric to retrieve information without saving or copying them from the source entity. This ensures efficiency and security. | Leverage Workflow Data Fabric tables in Knowledge Graph to retrieve data. | Requester | | Create a Knowledge Graph schema with Workflow Data Fabric tables. | To create and manage Workflow Data Fabric tables, see[Managing data fabric tables in Workflow Data Fabric Hub](https://www.servicenow.com/docs/access?context=managing-data-fabric-tables-wdf&version=yokohama&pubname=yokohama-integrate-applications&ft:locale=en-US) | kg_admin | [Table 2. Knowledge Graph benefits] {#exploring-knowledge-graph__table_pkn_tz2_xcc} ## What to explore next {#exploring-knowledge-graph__cf-exploring-parent-links} To learn more about configuring and using Knowledge Graph, see: * [Configuring Knowledge Graph](https://www.servicenow.com/docs/TX9CJxbjTecLBzJRiPEOBA "Plan and configure Knowledge Graph implementation.") * [Using Knowledge Graph Designer](https://www.servicenow.com/docs/1svSFhKvd_B7A4RwIjlHIg "Use Knowledge Graph Designer to create customized Knowledge Graph schemas that consist of nodes and edges.") * [Reference for Knowledge Graph](https://www.servicenow.com/docs/~lzfRoqYZwfytxQWjwLu1A "Knowledge Graph uses the following terminologies.") {#exploring-knowledge-graph__ul_qkn_tz2_xcc}