RAG technology ensures accuracy and content consistency of AI customer service responses
SiteAssist utilizes Retrieval Augmented Generation (RAG) technology as its core Q&A engine. The workflow of this technology is divided into two key stages: firstly, retrieving the most relevant pieces of information from the website, documents and knowledge bases such as FAQs, and then generating answers based on these accurately retrieved pieces of content. This dual mechanism ensures that the answers do not deviate from the original scope of information on the website, effectively avoiding the problem of AI hallucination.
Compared to traditional chatbots that rely only on pre-trained models, the advantages of RAG technology are 1) answers are strictly limited to the boundaries of the content provided by the organization, 2) the knowledge base can be dynamically updated without retraining the entire model, and 3) the ability to provide citation sources to increase user trust.SiteAssist achieves highly accurate automated customer service with this technology, which is particularly suitable for business scenarios that require strict content control. This is especially suitable for business scenarios that require strict content control.
The platform supports the processing of multiple content formats such as text, images and PDFs, enabling organizations to build comprehensive knowledge systems. By continuously optimizing retrieval algorithms and generative models, SiteAssist is able to handle multi-step complexity and provide users with a conversational experience that is both accurate and natural.
This answer comes from the articleSiteAssist: Instant AI Customer Service Support for Website VisitorsThe
