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Before reasoning about facts, agents must find the correct starting point.

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Hosted private-beta status

The hosted Worlds Data API currently uses keyword full-text search. It does not have an embedding provider configured, so vector ranking and the hybrid flow described below are not active in the hosted beta.

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Hybrid retrieval design

When vector search is configured, Worlds can combine keyword matching, vector similarity, and graph filters to resolve a natural-language query to a semantic entity (IRI) before executing symbolic logic.

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Reciprocal rank fusion

When multiple signals are available, Worlds merges their rankings using Reciprocal Rank Fusion (RRF): score=∑d∈D160+rank(d)score = \sum_{d \in D} \frac{1}{60 + rank(d)} This lifts results ranked highly by multiple signals to the top and suppresses noise from any single signal. Use the data-plane search endpoint for keyword search in the hosted private beta. Data-plane requests authenticate with a wzw_ world token:
Results return the matching subject and predicate IRIs plus the literal content, so an agent can bind the exact entity before running SPARQL.