ArangoDB

ArangoDB is a contextual data platform unifying graph, vector, document and search in a single engine, positioned for building AI-powered applications without assembling several specialised databases.

The multi-model argument has become considerably stronger with retrieval-augmented AI, and the reason is specific. A modern AI application typically needs vector search for semantic retrieval, a graph for relationships between entities, documents for the source material and keyword search for exact matching, and assembling four systems means keeping four copies of the same data consistent. One engine holding all four removes both the synchronisation and the arguments about which copy is authoritative.

Positioning as the context layer for enterprise AI is a precise claim rather than a slogan. Grounding a model in an organisation's own knowledge is a retrieval problem across exactly those four access patterns, and the quality of the answer depends on being able to combine them in one query rather than in application code.

The honest counterweight is that a single engine doing four jobs will rarely beat a specialist at any one of them, and a team whose workload is overwhelmingly one access pattern should weigh that. The platform is offered as the Arango Contextual Data Platform and the Arango Platform Suite as an operations layer, with pricing and deployment options published on the site but no rate captured.