GraphGPT – Extract knowledge graphs from unstructured text and visualise them
- Generative AI
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. A major issue at the moment is latency. Due to the nature of OpenAI API calls, it takes up to 20 seconds to receive a response.
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almostmagic is a library that lets you generate structured string data using AI with a single Line of code (okay, maybe two lines). Under the hood, the library is a wrapper around the OpenAI API, but, unlike the API, it’s easy to use and doesn’t require you to know anything about “prompt engineering.” You just use a function where […]
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