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Schemaless approach

As explained in Knowledge Graphs and LLMs in Action

A data-storage approach that imposes few or no fixed constraints on the format and relationships of stored items.

A schemaless approach stores data with few or no fixed constraints on item formats and relationships. Graph databases commonly support it through flexible nodes, relationships, and attributes. section 2.6

In iterative knowledge-graph development, flexibility allows new node and relationship types to extend the graph without compromising existing data or functionality. section 2.6

How Knowledge Graphs and LLMs in Action covers it

How deep it goes
Defines storage flexibility and applies it to graph extensions, but does not detail implementation mechanics or operational governance.
Examples
Uses adding new node and relationship types while preserving existing graph data and functionality.
What it assumes
Assumes familiarity with graph databases or knowledge graphs while defining the flexibility that makes their structures schemaless.
What you can do after
Apply it by extending a knowledge graph with new node and relationship types without discarding previous functionality.
How it connects
Connects graph databases, knowledge graphs, nodes, relationships, attributes, schemas, and intelligent systems.
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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Knowledge Graphs and LLMs in Action. The section links point to the parts of the book it draws on.