Privatized Knowledge Processing Enhances AI Professional Q&A Capabilities
The system realizes document intelligent processing through the knowledge base module of Coze platform, supporting uploading PDF/Word/TXT format files. The technical implementation is divided into three steps: document parsing (using Apache Tika to extract text), vectorization (using Coze's own embedding model), and index construction (FAISS-based approximate nearest neighbor algorithm).
This feature is especially important in enterprise scenarios: product manuals can be turned into Q&A knowledge bases (with an accuracy rate of 92%), industry white papers can be used as the basis for analysis, or company system documents can be turned into automated Q&A systems. The system automatically indicates the source of the answer and supports joint reasoning for multiple documents, with an average processing time of only 3.2 seconds for a 10MB file.
This answer comes from the articleCoze on WeChat: Bringing the Coze (button) bot to WeChatThe
