Implementation of the retrieval layer used to find relevant information from large document and knowledge collections.
Systems may include indexing, embeddings, vector databases, hybrid search, ranking, filtering, metadata retrieval, and evaluation.
The retrieval layer can support RAG systems, scientific search, enterprise knowledge, documentation systems, and research platforms.
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.