Knowledge graph

A structured network of entities and the relationships between them, extracted from your content, that grounds AI answers in more than isolated passages.

Where plain retrieval-augmented generation finds documents that look similar to a query, a knowledge graph also knows that one entity mentions another, so an assistant answering “who supplies parts for this model” can follow an explicit relationship instead of hoping a single passage happens to state it.

The graph is built from the same collection you already index — entities and their relationships are extracted automatically — rather than a separate ontology to maintain by hand.

Test AACSearch on your own problem

The best way to evaluate a search platform isn't reading one more comparison table.

Upload your own data.
Run real queries.
Look at the Query Trace.
Compare relevance.
Work out the cost.

Only then make the decision.

Start free Open Playground See the documentation