Kryst4lDem0ni4s commented on issue #183:
URL: 
https://github.com/apache/incubator-hugegraph-ai/issues/183#issuecomment-2701555925

   Although I have already started the next steps, I will be working on 
creating a deeper implementation and the logic extraction from the crewai's 
library based on this implementation of their available code.
   
   1. 
https://github.com/Kryst4lDem0ni4s/incubator-hugegraph-ai/blob/agenticprototype/hugegraph-llm/src/hugegraph_llm/operators/graph_rag_task.py
   2. 
https://github.com/Kryst4lDem0ni4s/incubator-hugegraph-ai/blob/agenticprototype/hugegraph-llm/src/hugegraph_llm/operators/hugegraph_op/graph_rag_query.py
   
   - In the code file links shared above, I focused on first trying to define 
how the agentic and workflow setup should be logically (very basic). Also note 
that this implemntation is focused on trying to augment the current code, 
instead of replacing anything.
   - In the next step, I will use this basic implementation, and utilize the 
open-source code available from crewai, to be able to create our own 
functionality handlers (to replace import requirements completely).
   - Also as you can see, I created a very simple file (or class) based 
implementation of the requirements (agent and flow core concepts in crewai), so 
the next focus would be to create a global orchestrator that is able to handle 
the complete workflow altogether, creating a true agentic system, not limited 
to a single workflow.
   - Afterwards, we can dive deeper into the successive requirements like 
figuring out the deeper logical requirements, implementing compatible logic 
from other libraries, etc.
   
   Whenever possible, please go through the implementation and please provide 
feedback so that I can detect mistakes made in the pipeline @imbajin 


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