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Thank you for open-sourcing this project. I've noticed that the prompts in nano-graphrag/nano_graphrag/prompt.py seem to closely follow the default prompts from Microsoft's official implementation, which includes entities like person, technology, mission, organization, and location.
I'm curious if you've experimented with adjusting these prompts to better extract medical-specific entities. If so, do you have any insights or findings from your experiments that you can share?
Thank you!
The text was updated successfully, but these errors were encountered:
For medical concepts, there are also other tools like MedCAT. Medical entity extraction may be different from other entities, which have higher requirements for safety. Combining with other Medical NER tools may be a good solution.
Hi,
Thank you for open-sourcing this project. I've noticed that the prompts in
nano-graphrag/nano_graphrag/prompt.py
seem to closely follow the default prompts from Microsoft's official implementation, which includes entities like person, technology, mission, organization, and location.I'm curious if you've experimented with adjusting these prompts to better extract medical-specific entities. If so, do you have any insights or findings from your experiments that you can share?
Thank you!
The text was updated successfully, but these errors were encountered: