| commit | 594b97817d3f28f65fa2288033eae79c97af5e91 | [log] [tgz] |
|---|---|---|
| author | Linyu <94553312+weijinglin@users.noreply.github.com> | Thu Jun 05 17:36:30 2025 +0800 |
| committer | GitHub <noreply@github.com> | Thu Jun 05 17:36:30 2025 +0800 |
| tree | 16502ce152651285af8b682243437d82beb71ae7 | |
| parent | cd6fd333a60a91811386b74ce11c8127dde902b5 [diff] |
fix(chore): Dockerfile to add pyproject.toml anchor file (#266) This PR fixes both Dockerfile.llm and Dockerfile.nk by adding the missing step to copy pyproject.toml into the runtime image. Details: - Added COPY command to include /build/hugegraph-llm/pyproject.toml (or /home/work/hugegraph-llm/pyproject.toml) in the final image. - Ensures that pyproject.toml is available in the runtime environment for get_project_path() api in anchor.py - Improves image completeness. --------- Co-authored-by: imbajin <jin@apache.org>
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. (GraphRAG/Agent)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.The project homepage contains more information about hugegraph-ai.
And here are links of other repositories:
./style/code_format_and_analysis.sh to format your code before submitting a PR. (Use pylint to check code style)hugegraph-ai is licensed under Apache 2.0 License.