Intelligent Q&A Solution Based on Knowledge Graph and RAG Technology
Yuxi-Know is an open source intelligent Q&A platform that combines knowledge graph and RAG (Retrieval Augmented Generation) technologies. The platform uses a Neo4j graph database to store structured knowledge graphs, while integrating a Milvus vector database to support vectorized storage of unstructured documents. This dual-engine architecture enables Yuxi-Know to handle both precise entity-relationship queries and information retrieval needs based on semantic fuzzy matching.
The integration of RAG technologies enables the system to have a retrieval-enhanced generation capability: first, relevant information is retrieved from the knowledge base, and then the retrieved results are fed into a large language model to generate natural language answers. This combination of technologies significantly improves the accuracy of answers and the coverage of relevant information. The system supports a variety of large language models, including OpenAI, DeepSeek, Beanbag, etc., and can flexibly switch between different models according to task requirements.
As an open source project, Yuxi-Know adopts the modern technology stack of FastAPI+VueJS and realizes one-click deployment via Docker, which greatly reduces the threshold of system deployment and maintenance. Its modular design also allows developers to easily extend functionality or integrate other tools and services.
This answer comes from the articleYuxi-Know: A Knowledge Graph-based Intelligent Q&A PlatformThe
