Start with foundations
About contextualization
Learn what must exist in the graph (assets, identities, and aliases) before matching or annotation can work.
Prepare aliases and match fields
Populate
name and aliases on match targets before entity matching tokenizes strings and applies blocking.Operate matching and annotation
Scope pipelines, configure incremental reruns, and preserve subject matter expert (SME)-confirmed links.
Understanding contextualization quality
Interpret in-scope coverage, orphans, and confidence before you tune matching models.
Match and connect entities
About entity matching
Learn how tokenization, blocking, and match scores pair sources with targets.
Match entities
Match Cognite Data Fusion resources to assets using pipelines or quick match in the UI.
Parse diagrams
About diagram parsing for data modeling
Detect tags, symbols, and connections to build a structured knowledge graph from engineering diagrams.
Parse diagrams
Extract and map assets and files from engineering diagrams in the CDF UI.
Create interactive diagrams
Review detected tags and build interactive P&IDs linked to your asset hierarchy.
Manage symbol libraries
Create and modify symbol libraries for diagram parsing workflows.
Parse documents
About document parsing
Learn how document parsing extracts key-value data into data model views (public preview).
Parsing documents
Run document parsing jobs on key-value PDFs in the CDF UI.
Deploy with Cognite Toolkit
CDF Entity Matching
Automate time series-to-asset matching with metadata enrichment, rules, and machine learning in production.
File Annotation
Annotate engineering files at scale with incremental processing and threshold-based approval.
Contextualization Quality Dashboard
Measure hierarchy, time series, file annotation, and related contextualization metrics.
Reference
Troubleshooting interactive diagrams
Resolve issues when interactive diagram parsing cannot resolve tags to assets.