Building a unified enterprise knowledge graph
Deep Searcher's unique hybrid search model breaks through the internal and external knowledge barriers of an organization. The system can handle private data sources such as local document repositories and databases, as well as integrating public information such as industry reports, policies and regulations through the web crawler under development. This dual-channel design ensures that answers are comprehensive and current.
The specific workflow is divided into three steps: first, establish the enterprise knowledge base in the vector database; then configure the automatic update policy for online data sources; and finally realize intelligent integration through integrate_online_content() API. The system will label the source of each piece of information and give a credibility score to assist the user's judgment.
In the practice of intelligent customer service scenarios, after an e-commerce platform used this feature, the coverage of customer service answers increased from 65% to 92%, especially in dynamic issues such as product recalls and policy changes. This hybrid model redefines the boundaries of enterprise knowledge management.
This answer comes from the articleDeep Finder: open source project for deep inference search using local knowledgeThe
