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GraphGPT

| English | 中文 |

Natural Language → Knowledge Graph

demo

GraphGPT converts unstructured natural language into a knowledge graph. Pass in the synopsis of your favorite movie, a passage from a confusing Wikipedia page, or transcript from a video to generate a graph visualization of entities and their relationships.

Successive queries can update the existing state of the graph or create an entirely new structure. For example, updating the current state could involve injecting new information through nodes and edges or changing the color of certain nodes.

The current few-shot prompt guides GPT-3 in accurately understanding the JSON formatting GraphGPT requires for proper rendering. You can see the entire prompt in public/prompts/main.prompt & public/prompts/main-zh.prompt.

Prompts

Prompts are located in the public/prompts folder. Read this Twitter thread I put together to learn more about how these prompts were designed.

Setup

  1. Run npm install to download required dependencies (currently just react-graph-vis).
  2. Run npm run start. GraphGPT should open up in a new browser tab.

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Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

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  • JavaScript 68.9%
  • CSS 19.9%
  • HTML 11.2%