WeKnora's core technology is Retrieval Augmented Generation (RAG) technology. This technology generates more precise and factual responses by retrieving relevant contextual fragments from documents and combining them with a large language model.The key to the RAG technology is to decouple document parsing, content recall, and model inference to form a modular pipeline. This design not only improves the flexibility of the system, but also further enhances the accuracy of the recall results by mixing multiple strategies such as keyword retrieval, vector retrieval and knowledge graph retrieval. Ultimately, the big language model generates answers based on this high-quality contextual information, ensuring that the answers are both accurate and consistent with user needs.
This answer comes from the articleWeKnora: Tencent's out-of-the-box enterprise-level Q&A knowledge baseThe
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