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Can LLMs extract knowledge graphs from unstructured text? Introducing GraphGPT! Pass in any text (summary of a movie, passage from Wikipedia, etc.) to generate a visualization of entities and their relationships. A quick example:

Varun Shenoy

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578,837 görüntüleme • 3 yıl önce •via X (Twitter)

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Varun Shenoy profil fotoğrafı

Varun Shenoy3 yıl önce

Here's GraphGPT creating a knowledge graph from the synopsis of Veep:

Varun Shenoy profil fotoğrafı

Varun Shenoy3 yıl önce

In case you want to play with it yourself, here's the repo. All you need is an OpenAI API key.

Varun Shenoy profil fotoğrafı

Varun Shenoy3 yıl önce

GraphGPT is on the front page of HN 🎉

Varun Shenoy profil fotoğrafı

Varun Shenoy3 yıl önce

Play with GraphGPT without having to do any of the dev setup. All you need is an OpenAI API key! Thanks @sfzhu for the idea + PR 🚀

amir profil fotoğrafı

amir3 yıl önce

is that localhost?

Varun Shenoy profil fotoğrafı

Varun Shenoy3 yıl önce

🚢 🚢 🚢

Tom Bielecki profil fotoğrafı

Tom Bielecki3 yıl önce

What!! This is crazy useful. Great that you can append and edit with further Input. It probably wouldn't be hard to extend this to explore any domain/market with web search/summarization @codexeditor

Stratos Kontopoulos profil fotoğrafı

Stratos Kontopoulos3 yıl önce

Great stuff, especially for generating small & focused visualizations! But the output is simply a graph, not a #KnowledgeGraph, since it's missing #semantics & schema information. Also, it would be great if the output was available in a machine-processible format as well.

Joel Fernandes profil fotoğrafı

Joel Fernandes3 yıl önce

Nice project. How does one go about building a gpt-like training with custom data (without using openAI) ? For eg I have say a million spreadsheets of unstructured data and I want to chat with my data asking it to draw plots, graphs , asking questions to my data in English ..

verumlotus profil fotoğrafı

verumlotus3 yıl önce

man's shipping velocity crazy 🫡

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