Retrieval
Vectorising content and selecting the most relevant passages from the sources.
- Hybrid search: BM25 + vectors
- Permission and context filters
AI uses the hotel’s structured knowledge base to provide up-to-date, relevant and controlled replies.
CogniVis is built on Retrieval-Augmented Generation (RAG), an approach that combines the power of large language models (LLMs) with precise information retrieval from your own resources. This enables us to provide responses that are not only relevant, but also based on up-to-date, verified data. We have been developing and refining our RAG solution since 2023, with a focus on the specific needs of the hotel industry.
Vectorising content and selecting the most relevant passages from the sources.
Normalisation, deduplication and compression – the model receives only what is relevant.
Responses created by an LLM, with optional citations and no hallucinations.
Every bathroom has a hairdryer[1]. These hairdryers are usually wall-mounted or placed in a drawer beneath the washbasin[2]. If you need an additional hairdryer or have any special requirements, please contact the hotel reception, who will be happy to help.
*Visible source citations are an optional feature that can be disabled after the trial period. Responses will still be based on sources, but without visible citations.
Automate responses or display suggestions without changing your team’s everyday tools.