hugegraph-ai aims to explore the integration of HugeGraph with artificial
intelligence (AI) and provide comprehensive support for developers to leverage HugeGraph's AI capabilities
in their projects.
- hugegraph-llm:The
hugegraph-llmwill house the implementation and research related to large language models. It will include runnable demos and can also be used as a third-party library, reducing the cost of using graph systems and the complexity of building knowledge graphs. Graph systems can help large models address challenges like timeliness and hallucination, while large models can assist graph systems with cost-related issues. Therefore, this module will explore more applications and integration solutions for graph systems and large language models. - hugegraph-ml: The
hugegraph-mlwill focus on integrating HugeGraph with graph machine learning, graph neural networks, and graph embeddings libraries. It will build an efficient and versatile intermediate layer to seamlessly connect with third-party graph-related ML frameworks. - hugegraph-python-client: The
hugegraph-python-clientis a Python client for HugeGraph. It is used to define graph structures and perform CRUD operations on graph data. Both thehugegraph-llmandhugegraph-mlmodules will depend on this foundational library.
hugegraph-ai is licensed under Apache 2.0 License.
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