opea-project/GenAIExamples
May 2025 – May 2025
1 Month active
Languages Used
CSSDockerfileHTMLJavaScriptMarkdownPythonShellTypeScript
Technical Skills
CI/CDDockerDocker ComposeFastAPIGenerative AIGraphRAG
Jean Yu
PROFILE
Jean Yu
Developed and launched the HybridRAG application within the opea-project/GenAIExamples repository, focusing on enhancing retrieval-augmented generation workflows for generative AI. The work integrated both VectorRAG and GraphRAG approaches to support structured and unstructured data, improving the accuracy and relevance of AI responses. Leveraged Python and FastAPI to build scalable microservices, while Docker and Docker Compose were used to enable reproducible, containerized deployments. Authored comprehensive documentation and orchestration scripts to streamline setup and maintenance. Delivered user-facing UI components with Svelte, improving workflow visibility and interaction. The project emphasized robust system integration and deployment stability for broader adoption and maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
4,432
Activity Months1
Your Network
2159 peopleSame Organization
@intel.com2109
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on delivering HybridRAG in GenAIExamples and stabilizing deployment and UX for broader adoption.
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary focusing on delivering HybridRAG in GenAIExamples and stabilizing deployment and UX for broader adoption.
May 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
CSSDockerfileHTMLJavaScriptMarkdownPythonShellTypeScriptXML
Technical Skills
CI/CDDockerDocker ComposeFastAPIGenerative AIGraphRAGMicroservicesPlaywrightPythonRAG (Retrieval-Augmented Generation)SvelteSystem IntegrationVectorRAG
Repositories Contributed To
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