Creating Knowledge Graphs for Use Alongside RAG
Posted: Tue Feb 11, 2025 6:44 am
To create and use a knowledge graph as part of your overall generative AI system, you have several options. For instance, you may want to import an existing set of data that you know is accurate already. Alternatively, you can create your own knowledge graph from your data directly, which can be beneficial when you want to curate your information uk whatsapp number data and check that it is accurate. However, this can be time-intensive and difficult to keep updated when you have a large amount of data, or when you want to add new information quickly.
One interesting approach you can use is to employ your LLM to extract information from your content and summarize the data. This automated approach can make it easier to manage information at scale, while still providing you with that up to date knowledge graph that you need. As an example, you can use LangChain and LLMGraphTransformer to take a set of existing unstructured data, apply a structure, and then organize that data. You can then use prompt engineering and knowledge engineering to improve the automated extraction process into a relevant knowledge graph.
One interesting approach you can use is to employ your LLM to extract information from your content and summarize the data. This automated approach can make it easier to manage information at scale, while still providing you with that up to date knowledge graph that you need. As an example, you can use LangChain and LLMGraphTransformer to take a set of existing unstructured data, apply a structure, and then organize that data. You can then use prompt engineering and knowledge engineering to improve the automated extraction process into a relevant knowledge graph.