The Knowledge Graph App is designed to provide information based on user queries and visualize the data in the form of a knowledge graph.

GitHub Repo : https://github.com/qsaifudin/knwoledge-graph-openai.git

Video Demo : https://youtu.be/cNWrqlrbXac

• Users input questions through the website/frontend.
• The website forwards the input to the backend.

• Backend communicates with Azure OpenAI API to process user input.
• OpenAI's response is sent back to the website as the answer to the user's question.
• The backend then queries Azure OpenAI again to convert the response into a Cypher query.

• The Cypher query response is used to store data in the form of nodes in AuraDB (Neo4j database in the cloud).

• If successful, the node graph is displayed on the website.
• In case of failure, users can click the "TRY AGAIN" button to restore data and visualize nodes.

• Users can delete all nodes in the database using the "DELETE ALL NODES" button.

• Framework: Express
• Database: AuraDB (Cloud version of Neo4j)

• https://workspace-preview.neo4j.io/

• neo4j+s

• Framework: Nuxt3
• UI Framework: Vuetify

• Get All Nodes:

  • URL: http:https://localhost:5000/api/node
  • Method: GET

• Query Processing:

  • URL: http:https://localhost:5000/api/query
  • Method: POST
  • Body:

    {
      "query": "User query"
    }

• Store Cypher Query:

  • URL: http:https://localhost:5000/api/node-query
  • Method: POST
  • Body:

    {
      "query": "Cypher query"
    }

• Delete All Nodes:

  • URL: http:https://localhost:5000/api/node/delete-all
  • Method: POST

Detail setup instructions and system requirements are already available in the README.me file inside the backend and frontend folders.

• Saifudin
  • Email: [email protected]
  • LinkedIn: https://www.linkedin.com/in/qsaifudin/
  • Personal Web: https://qsaifudin.site/