Yuxi Know : A knowledge graph question-and-answer system based on a large model RAG knowledge base, supporting multiple large model adaptations and local deployment.

Yuxi Know

Knowledge Management AI Information Platform #Knowledge Graph #Large Model #Q&A System #Knowledge Management #Intelligent Retrieval Standard Picks Open Source

Overview :

Yuxi-Know is a knowledge graph question-and-answer system based on a large model RAG knowledge base, built using Llamaindex + VueJS + Flask + Neo4j. It supports model calls from OpenAI, mainstream domestic large model platforms, and local vllm deployment, and can implement functions such as knowledge base Q&A, knowledge graph retrieval, and online search. The main advantages of this system are flexible adaptation to multiple models, support for multiple knowledge base formats, and strong knowledge graph integration capabilities. It is suitable for enterprises and research institutions that need efficient knowledge management and intelligent question-and-answer, and has high technological advancement and practicality.

Target Users :

This product is suitable for enterprises, research institutions, and professionals who need efficient knowledge management and intelligent knowledge retrieval, and have a demand for knowledge graphs and large model applications. It can help enterprises quickly build intelligent question-and-answer systems and improve knowledge management efficiency; provide researchers with powerful knowledge retrieval tools to accelerate the research process; and also provide a platform for technology enthusiasts to explore large model applications.

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Use Cases

Enterprise internal knowledge Q&A: By importing internal enterprise documents and knowledge graphs, employees can quickly query relevant knowledge, improving work efficiency.

Academic research assistance: Researchers can use this system to manage literature materials and conduct correlation analysis using knowledge graphs to accelerate research progress.

Intelligent customer service: Combined with online search functions, it provides intelligent customer service solutions for enterprises to answer customer questions in real time.

Features

Supports multiple large model adaptations, including OpenAI, mainstream domestic large model platforms, and local vllm deployment, meeting the needs of different users.

Has flexible knowledge base management functions, supporting multiple document formats such as PDF, TXT, and MD, making it easy for users to import and manage knowledge.

Integrates knowledge graph technology, realizing knowledge graph Q&A based on Neo4j, enabling quick retrieval and display of knowledge associations.

Supports online search, providing more comprehensive Q&A support by combining web content.

Provides a simple and easy-to-use configuration method; users only need to configure the API_KEY for the corresponding service platform to quickly use the system.

How to Use

1. Clone the project code locally: Clone the Yuxi-Know project code via Git.

2. Configure the environment: Configure the API_KEY for the corresponding service platform in the src/.env file.

3. Start the service: Use Docker Compose to start the project and run the development or production environment configuration file.

4. Access the system: Access http://localhost:5173/ through a browser to start using the system.

5. Import the knowledge base: Upload documents in PDF, TXT, MD, etc. formats, and the system will automatically process and store them in the knowledge base.

6. Knowledge graph management: Import knowledge graph data (jsonl format), and the system will automatically build the knowledge graph.

7. Start Q&A: Enter questions in the system, and the system will provide answers based on the knowledge base, knowledge graph, and online search.