Linguistic Analysis Yuxi-Know
The knowledge graph question answering system based on the large model RAG knowledge base supports a variety of large model adaptation and local deployment.
Product Details
Yuxi-Know is a knowledge graph question and answer system based on the large model RAG knowledge base, built using Llamaindex + VueJS + Flask + Neo4j. It supports OpenAI, model calling of domestic mainstream large model platforms and local vllm deployment, and can realize functions such as knowledge base question and answer, knowledge graph retrieval and network retrieval. The main advantages of this system are its flexible adaptation to multiple models, support for multiple knowledge base formats, and powerful knowledge graph integration capabilities. It is suitable for enterprises and research institutions that require efficient knowledge management and intelligent question and answer, and has high technological advancement and practicality.
Main Features
How to Use
Target Users
This product is suitable for enterprises, scientific research institutions, and professionals who need knowledge graphs and large model applications that require efficient management and intelligent retrieval of knowledge. It can help enterprises quickly build intelligent question and answer systems and improve knowledge management efficiency; it provides scientific researchers with powerful knowledge retrieval tools to accelerate the research process; it also provides technology enthusiasts with a platform to explore large model applications.
Examples
Internal enterprise knowledge Q&A: By importing internal enterprise documents and knowledge maps, employees can quickly query relevant knowledge and improve work efficiency.
Academic research assistance: Researchers can use this system to manage literature materials, conduct correlation analysis based on knowledge graphs, and accelerate research progress.
Intelligent customer service: Combined with the Internet search function, it provides enterprises with intelligent customer service solutions to answer customer questions in real time.
Quick Access
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