{"best_for":["Small Businesses","Mid-Market Companies","Enterprise Companies","Data Stewards","Operations Managers"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/data-graphs","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/data-graphs.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-015.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: data graphs (https://aitoolsforbusiness.ai/data-graphs)"},"features":["No-code intuitive UI: Supports designing data models and defining relationships between concepts without writing code.","Natural language queries: Supports asking questions in plain English to retrieve answers contextualized within business data.","Semantic search: Combines graph metadata and full-text search to provide context-aware results.","RAG model integration: Supports Retrieval Augmented Graph (RAG) to provide structured context to LLMs.","Graph query engine: A native database engine designed for the retrieval of complex, interconnected data.","Scalable APIs and webhooks: Provides developer-friendly integration points to connect the knowledge graph to other business applications."],"freshness_status":"fresh","name":"data graphs","pricing_note":"Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.","pricing_url":null,"primary_category":"Data & Analytics","profile_last_verified":"2026-06-04T09:38:41.091Z","secondary_categories":[],"short_description":"Data Graphs is a knowledge graph platform that uses AI and a no-code interface to connect business data and support natural language queries.","slug":"data-graphs","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/data-graphs","use_cases":["Knowledge Hub: Centralizing content, metadata, and insights to support team collaboration and decision-making.","Reference Data Management: Managing and publishing industry-standard and company-specific reference data in a unified base.","Multi-Modal Asset Management: Organizing various types of digital assets and content using AI-powered connections.","Digital Labeling: Creating machine-readable labeling ecosystems, such as those used for agricultural product compliance.","Sports Analytics and Engagement: Unifying fan interactions, player stats, and media assets to support personalized fan experiences."],"website_url":"https://datagraphs.com/"}