Table of contents
Big Model Knowledge Base
Tencent Cloud Vector Database can be used in conjunction with the large language model LLM. After text segmentation and vectorization, the private domain data of enterprises can be stored in the Tencent Cloud vector database to build an enterprise-specific external knowledge base, so as to provide prompt information for the large model and assist the large model in subsequent retrieval tasks. Generate more accurate answers.
Recommended system
The goal of a recommender system is to recommend items that may be of interest to users based on their historical behavior and preferences. In this scenario, the user behavior features are vectorized and stored in the vector database. When a recommendation request is initiated, the system will perform similarity calculations based on user characteristics, and then return items that may be of interest to the user as recommendation results.