PRODUCTS
RAG-POWERED CHATBOTS
RECOMMENDER SYSTEMS
RAG-POWERED CHATBOTS
Retrieval-Augmented Generation (RAG)-powered chatbots represent a significant advancement in conversational AI by combining the strengths of large language models with real-time access to external knowledge sources. Unlike traditional chatbots that rely solely on pre-trained data, RAG-powered systems retrieve relevant documents or data from a client’s knowledge base during the conversation, then use that information to generate accurate and contextually rich responses. This hybrid approach allows the chatbot to provide up-to-date, specific, and factually grounded answers.
Recommender systemS
We also use our own accurate vectorization models in our recommendation system. Based on content, it can recommend similar books, articles, or other text documents to users. When making recommendations, we also take into account the user’s history, the number of times each document has been read, and other statistical data from the domain.
