I Wrote a Knowledge Graph Render by LangChain

Hello and good morning.

I am a student from Chain. Recently, our teacher let us to write a KnowledgeGraph(as KG) render and save the graph to a graph database like neo4j.

Yeah, I know LangChain already provide the function to generate the graph data, but I still want to build my own version of KG. I tried many models like phi-3-mini, llama3-8b, but none of them work very well, so I changed my mind to use GLM-4 powered by ZhiPuAI, and it works very well. Here is the showcase: A very large image.

Although the showcase shows that KG render works very well, but I have some problem to fix:

• I save graph to neo4j, but for the same label nodes, they are all connected to a same label nodes, although they have different type. Just like the word Key, Key could be related to many different fields like keyboard or database.

• If I enable the update in args, render image will slow down the speed entirely, If there is a better way to show real time graph?