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
will 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 help 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
will 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
is a Python client for HugeGraph.
It is used to define graph structures and perform CRUD operations on graph data. Both the hugegraph-llm
and hugegraph-ml
modules will depend on this foundational library. ./style/code_format_and_analysis.sh
to format your code before submitting a PR.hugegraph-ai is licensed under Apache 2.0 License.
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