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The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
AI Summary: Debug and fix failing tests related to the real-time codebase updater in the Graph-Code project. This involves investigating the test failures, identifying the root cause(s), and implementing the necessary corrections to ensure all tests pass.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs
AI Summary: Update the PydanticAI dependency in the Graph-Code project to its latest version. This involves modifying the project's dependency management file (likely `pyproject.toml` or `requirements.txt`), running dependency updates, and verifying that the project still functions correctly after the update.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs