Development of search systems that use semantic representations and AI models to retrieve information according to meaning and context.
Systems may combine keyword search, embeddings, semantic ranking, hybrid retrieval, filtering, and domain-specific relevance models.
Typical applications include scientific search, organizational knowledge search, technical documentation, and information portals.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.