- Schema view , all the distinct node and edges, when we click show the properties
- Each node type differnt color default and in the node attibute value any start with http or https then can be hyperlink
3.Multiple default connection options in the connection page
4.Default graph view based one some node which we add as default. Example Person node is default, then based on logged in user it will pull and shoiw the default view
5.Chatbot for analytics, if the user ask questions with help of the graph schema view context, llm will provide the query which will be executed and give as response. Note: the llm API will be private configrable and while calling the api we need to pass the token in header. [create/delete/update option should be restricted in configrable way]
- In data Explorer filter search server level , and export
- Any option to shrink as same as expand
- if the default connection there , then it should be activate and landed directly to graph view page
Priority:
1.Schema visualization[there can be same edge label for multiple different node relationship]
2.Chatbot for analytics , User can ask questions should give the answer from the Knowledge Graph
The LLM call should be private API configurable , while calling the api there will be token passed in header for authentication. [The token generation will be api call with private SSO api.], In code level some placeholder ,so tat we can add code to generate token at runtime and add in the header of LLM api call
3.Multiple default connection options in the connection page
4.Default graph view based one some node which we add as default. Example Person node is default, then based on logged in user it will pull and shoiw the default view
5.Chatbot for analytics, if the user ask questions with help of the graph schema view context, llm will provide the query which will be executed and give as response. Note: the llm API will be private configrable and while calling the api we need to pass the token in header. [create/delete/update option should be restricted in configrable way]
Priority:
1.Schema visualization[there can be same edge label for multiple different node relationship]
2.Chatbot for analytics , User can ask questions should give the answer from the Knowledge Graph
The LLM call should be private API configurable , while calling the api there will be token passed in header for authentication. [The token generation will be api call with private SSO api.], In code level some placeholder ,so tat we can add code to generate token at runtime and add in the header of LLM api call