Description DocGraph Builder is a document relationship graph module for teams that need to connect documents, sections, entities, citations, topics, and references into a structured knowledge graph. Standard document search often treats each document independently, but real knowledge collections contain relationships: one policy references another, a manual describes a component, a report cites a dataset, a contract clause depends on a definition, and a procedure belongs to a workflow. This module helps extract and organize those relationships so downstream AI systems can reason across documents instead of retrieving isolated chunks. It can be used in RAG systems, compliance document review, technical documentation platforms, legal knowledge tools, research repositories, and internal knowledge bases. A typical workflow is to parse documents, identify references or entities, create nodes and edges, attach metadata, and export graph structures for retrieval or analysis. The module does not automatically understand every document relationship perfectly. Domain rules, citation formats, document quality, and entity definitions affect results. Users should validate graph outputs and combine automated extraction with review workflows for critical knowledge bases. Product attributes Canonical product name: DocGraph Builder Module type: Document relationship graph and knowledge structure builder Primary category: Knowledge graph Secondary categories: Document AI, RAG enhancement, relationship extraction, knowledge structure Suggested list price: £679.00 Intended users: Knowledge engineers, RAG developers, AI engineers, compliance teams, research teams Applicable lifecycle stage: Knowledge base construction, document graph creation, RAG enrichment, semantic retrieval design Typical inputs: Parsed documents, document metadata, section structures, references, entity lists, citation patterns Typical outputs: Document graphs, node edge records, relationship metadata, topic structures, graph export files Delivery format: ZIP package automatically delivered by email after purchase Expected package contents: Source files, graph building examples, configuration templates, documentation, tests, sample document graph workflows Runtime environment: Python based document and graph processing environment Integration mode: Knowledge graph builder, RAG enrichment layer, document intelligence pipeline, semantic retrieval support Recommended skill level: Advanced Commercial rights: Full commercial use is permitted Modification rights: Modification, custom relationship extraction design, internal adaptation, and proprietary integration are permitted Open source policy: Public open sourcing is prohibited Redistribution policy: Resale, redistribution, sublicensing, or repackaging as a standalone module is prohibited Production readiness note: Requires document parsing validation, relationship review, graph quality assessment, and domain ontology alignment Validation standard: The module is considered valid when sample documents can produce documented graph structures and relationship outputs
