From the course: Hands-On AI: Knowledge Graphs for Generative AI Use Cases

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What open data can you reuse?

What open data can you reuse?

- [Instructor] When you're populating your graph, you will get less hallucinations if you have a more complete graph for the type of questions your LLM will encounter. Open data can be used to supplement your internal data or to bootstrap a graph and populate it with generating triples from unstructured text if you own the content. For instance, some creative comments will not allow you to use their data if you are using it for commercial uses, so you always want to check that. Open data can also be structured as graphs, which can help build out your graph nodes relations or instance data. Open data is also good for evergreen or general data that doesn't change much, and some of it is already verified as accurate. Again, you would want to check that. Also, make sure to grab the data that makes sense for your use case, or which you know you have gaps or ambiguous areas in your graph. Try not to grab the entire dataset unless it's useful to your use case, because that will add cost if…

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