What has been built
The platform brings together dense, sparse, hybrid and graph retrieval; fusion and reranking; planning; evidence and validation; audit trails; conversational context; and evaluation. Its modular shape makes it possible to inspect and compare parts of a retrieval workflow rather than treat output as a black box.
What has been evaluated
Controlled synthetic benchmarks and versioned evaluation have been completed. This work establishes a repeatable testing foundation. It does not establish performance on real operational datasets, user populations or specialist decision contexts.
What is being validated now
The current research focus is dataset realism and benchmark robustness: whether the evaluation conditions continue to test the properties that matter as data becomes less controlled and more representative of real information environments.
Next step
Strengthen the relationship between benchmark design, data realism and the conclusions that a retrieval evaluation can responsibly support.