The RAG Web UI's dialog engine is built on the advanced RAG framework, which realizes the advantageous combination of traditional search engines and generative AI. The system not only understands the semantics of the user's question, but also gives accurate answers based on the content of the knowledge base and retains complete document citation information. Particularly noteworthy is the engine's powerful multi-round dialog capability, which maintains contextual consistency and makes the dialog closer to real-life interactions.
In terms of implementation, the system builds a contextual cache for each conversation to ensure that subsequent questions are understood in the correct context. At the same time, the system is able to intelligently recognize multiple document fragments involved in a conversation and automatically integrate this information into a coherent answer. For example, when a user asks successive questions about the same topic but from different perspectives, the system maintains semantic consistency and avoids contradictory answers. This capability makes the RAG Web UI particularly suitable for specialized knowledge queries, technical support, and other scenarios that require in-depth interaction.
This answer comes from the articleRAG Web UI: Building an Intelligent Documentation Q&A System and Simply Building a Private Web-Side Knowledge BaseThe
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