Graph Automation 1.0.0 Release Notes

07/10/2026

Graph Automation 1.0.0 introduces a data integration and workflow orchestration platform for the Graphwise ecosystem built on n8n.

Note

While the official Graph Automation 1.0 release is scheduled for the end of October, these preliminary release notes serve as an overview of key features in the upcoming release.

Graph Automation introduces pre-built ingestion workflows that transform document collections into content for vector, full-text and graph retrieval in Graphwise GraphRAG.

Stage	Processing
Document Loading	Load the document from the corresponding location (e.g., local file system, cloud storage).
Sectioning and Chunking	Divide document content into sections and chunks for downstream processing, and extract document text, structure and metadata.
Tagging and Enrichment	Assign contextual tags, source attributes and system metadata.
Concept Extraction	Identify concepts and relationships within document content.
Full-Text Search Index	Generate full-text search index.
Vectorization	Generate vector embeddings for document chunks.
Knowledge Graph Construction	Transform extracted information into knowledge graph triples and entities.

Node	Description
Graph Transformation - RML	RML-based transformation node enabling you to declaratively map heterogeneous source data (JSON, XML, CSV) into RDF inside a workflow, without hand-coding.
Graph Modeling	Provides access to Graph Modeling Thesaurus API operations through dedicated nodes, reducing the need for raw HTTP requests or SPARQL calls for these operations.
Semantic Analytics	Connects workflows to the Graphwise Extractor API using the new `/extractor/api/tag` endpoint. The Graphwise Extractor is a text-analytics web service that extracts concepts, terms, named entities, and other metadata from text, URLs, or uploaded files against a thesaurus, and can store the extracted RDF directly in a triplestore repository. This node exposes the Extractor's tagging, language detection, thesaurus concept and project/cache management endpoints as a single n8n node. This endpoint replaces `/api/annotate` and `/api/extract` which are marked for deprecation in Graph Modeling 11.0. Graph Automation 1.0 supports the synchronous tagging path together with the project and cache endpoints.
GraphDB	This node directly loads generated RDF from a workflow to a specified GraphDB repository. The initial release scope is deliberately focused on the loading path identified from the existing UnifiedViews pipeline usage. Querying, updating and validating graph data will follow in a future release.

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