Multi-Model Databases with Document Support

These databases combine document data with graph, key-value, or relational features, providing a versatile storage engine for complex AI applications. They are well-suited for scenarios requiring knowledge graph + document embedding or document + transactional data integration.

Tools:

• ArangoDB – A native multi-model database supporting documents, graphs, and key-value data with a unified query language (AQL). Great for combining knowledge graph and unstructured text within one engine.

• OrientDB – A multi-model DB offering graph, document, object, and key-value data types. Ideal for hybrid applications requiring rich relationships and flexible schemas.