--- sourceDocument: Australia Enable AI sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences Release : - australia ft:locale : - en-US ft:publication_title : - Australia Enable AI ft:clusterId : - platai bundleId : - platai workflow : - Platform --- # Using Enterprise graph schema # Using Enterprise graph schema {#ariaid-title1} Release version: Australia Updated March 12, 2026 ![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 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 Using Enterprise Graph schema Enterprise Graph is a pre-configured Knowledge Graph schema within ServiceNow that maps all instance tables and their relationships, enabling natural language queries across the entire database. It simplifies Knowledge Graph setup by eliminating the need for custom schema creation, making it easier for admins to deploy AI agents, Virtual Agents, and ServiceNow Otto panels with enhanced query capabilities. Show full answer Show less ## Key Features * **Comprehensive Data Access:** Maps all tables in the instance, allowing natural language queries to access data beyond the limitations of custom or out-of-the-box schemas. * **Preconfigured Schema:** Ready to use without additional custom schema design, reducing setup time and complexity. * **Integration with ServiceNow AI Tools:** Supports AI agents, ServiceNow Otto for Virtual Agent, and Otto panel admins to provide accurate responses and actionable insights. * **Tagging Support:** Uses tags to highlight important tables for specific use cases, improving query accuracy and relevance. * **Two Modes of Operation:** * **Regular Mode:** Searches across all tables (more than 50), prioritizing tables tagged during configuration. Ideal for broad, enterprise-wide queries. * **Enterprise Graph (Small):** Restricts searches to tagged tables only (up to 50), suitable for latency-sensitive scenarios requiring focused data access. Tagging is mandatory in this mode. ## Key Outcomes * **Enhanced Query Accuracy and Coverage:** By mapping the entire database, Enterprise Graph ensures natural language queries return comprehensive and relevant answers. * **Improved Productivity:** Fulfillers using ServiceNow Otto panel can quickly extract insights from structured data, boosting efficiency. * **Better Customer Support:** Virtual Agents with Enterprise Graph integration can handle a wider range of enterprise data questions, helping to deflect and resolve queries effectively. * **Context-Rich AI Assistance:** AI agents gain essential context from structured data, improving task execution and response quality. Use Enterprise Graph for accurate natural language query responses, across the entire database. Enterprise graph is a pre-configured Knowledge Graph schema that maps all instance tables and their connections, enabling natural language queries for data across all tables. To see some examples of the Natural Language query responses, refer [Natural language queries use cases and examples](https://www.servicenow.com/docs/KD4pCkWo6TZppsgRO5BunA "View example use cases of some natural language queries used in Knowledge Graph and Enterprise Graph."). Enterprise graph schema simplifies Knowledge Graph setup by providing a preconfigured schema, eliminating the need for custom schema creation in Knowledge Graph designer. Admins can choose Enterprise graph as the Knowledge Graph schema when using AI agents, ServiceNow® Otto for Virtual Agent, or ServiceNow Otto panel admin and add tags to enhance accuracy. By mapping all tables, the Enterprise graph schema expands query capabilities to cover the entire database, whereas a custom or out-of-the-box (OOTB) schema limits queries to only the tables included in its specific schema. ## Benefits of Enterprise Graph on Prebuilt integration {#global-graph-schema__section_hkt_vyx_mhc} Now Assist ServiceNow® Otto for Virtual Agent- With Enterprise Graph integration, ServiceNow® Otto for Virtual Agent can respond to a wide range of questions about their enterprise data from requester, helping to deflect queries. ServiceNow Otto panel- With Enterprise Graph enabled, ServiceNow Otto panel allows fulfillers to obtain insights from the structured data in instance by asking natural language questions, which boosts their productivity. AI agents- With Enterprise Graph enabled, AI agents can access relevant information from structured data in ServiceNow instance directly from the Knowledge Graph, giving them essential context for tasks. ## Modes of Enterprise Graph {#global-graph-schema__section_asg_hw4_jhc} Enterprise Graph has two modes: * Enterprise Graph- regular mode * Enterprise Graph (Small) {#global-graph-schema__ul_i4r_hzx_mhc} Regular mode is used for use cases with large number of tables (more than 50 tables), to: * Searches across all tables, but gives more priority to tables which are included in the tag added at time of configuring Enterprise Graph in the consuming app (AI agent or VA). * Useful for scenarios where answer is expected from large number of tables. {#global-graph-schema__ul_tqk_kzx_mhc} Enterprise Graph (Small) is a version of Enterprise Graph that limits the search to only the tables tagged with specific labels. This means it can only answer queries related to those tables. It's useful for: * Searches only within tables which are included in the tag added at time of configuring Enterprise Graph (Small) in consuming app (AI agent or VA). Tagging is mandatory in this mode. * Useful for latency-sensitive use cases with limit of 50 tables {#global-graph-schema__ul_vbt_szx_mhc} ## Tags in Knowledge Graph {#global-graph-schema__section_ulm_h5s_ghc} Tags are lists of key tables that are important for answering natural language questions in a specific use case. They are required to be used with Enterprise Graph and Enterprise Graph (Small).