Flow.BI for Knowledge Graphs
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2026-11-09
About This Site
Generates semantic models and enterprise knowledge graphs from source-system metadata. Flow.BI for Knowledge Graphs derives a semantic model and enterprise knowledge graph from the metadata and profiles of an organization's source systems. It identifies business entities and relationships across systems, maps business vocabulary to physical data structures, and preserves provenance so graph elements can be traced to their source evidence. The resulting machine-readable business context can support LLM agents, including graphRAG applications. Flow.BI also detects source-system changes and updates the model, while allowing people to influence the AI-generated results.
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Key Features AI
Core Features
Ingests and profiles source-system metadata, including schemas, keys, constraints, cardinalities, naming conventions, and usage patterns
Derives business entities, definitions, and relationships across systems
Builds a queryable enterprise knowledge graph with provenance to source structures
Creates a semantic model that maps business vocabulary to physical data structures
Lets people influence AI-generated models
Detects source-system changes and updates the model
Advantages
Derives models from existing systems instead of relying solely on manual modeling
Connects business terms to physical data structures
Includes provenance for auditing and tracing model elements
Designed to keep models updated when source systems change
Allows human input to influence AI-generated results
缺点:The product is identified as pre-release
缺点:The site does not provide specific pricing or trial-quota details
缺点:The quality of the derived model depends on source metadata and data profiles
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