Raffle AI delivers accurate search results/answers straight out of the box because it employs a deep-learning methodology that operates under a zero-shot model; this means that the AI search/chat requires no coding, maintenance, or training data from you, our (prospective) client.
A hallmark of Raffle is that our AI uses only the data sources you specify to be the basis of your intended search results/answers for your customers. Raffle AI even displays the exact snippet of text in the search results/answers for relevancy to your citizens’ search queries.
Driven by advanced artificial intelligence (AI), Raffle is based on deep learning algorithms and language models that excel at natural language processing and understanding (NLP & NLU). Raffle’s core technical foundation is based on semantic embeddings, and by doing search based on embeddings, Raffle is not sensitive to how the questions are phrased, but can perform the search purely based on the meaning of the questions (i.e. what is being searched for) to always deliver the correct answers. This results in a search optimization experience whereby human text input is processed to generate human-like text output (comprising knowledge, not just information) for accurate answers or search results to any type of question or search query, thus empowering your customers and employees to self-serve as never before.
Want to learn more? Here is our white paper
on Raffle’s hybrid search technology.