ThalesGroup/fred
Apr 2026 – Apr 2026
1 Month active
Languages Used
JavaScriptPythonTypeScript
Technical Skills
API developmentPythonReactbackend developmentdata processingfrontend development
CohenOdelia
PROFILE
Cohenodelia
Developed enhanced multimodal retrieval capabilities for the ThalesGroup/fred repository by implementing rich PPTX visual artifact retrieval, enabling deeper knowledge extraction from complex presentation materials. Leveraged Python and React to connect the new retrieval flow to existing v1 RAG agents and expanded support to React-based agent v2 with vector search. Improved backend data processing pipelines and updated API surfaces to accommodate the new knowledge flow, focusing on maintainability and reliability. Applied code quality improvements, including import order and formatting fixes, and maintained continuous integration workflows. The work established a robust foundation for agent-based workflows and multimodal search across evolving product versions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
563
Activity Months1
Your Network
55 peopleSame Organization
@thalesgroup.com33
Shared Repositories
22
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Florian LOTTEMember
florian-mullerMember
Work History
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for ThalesGroup/fred focused on delivering richer multimodal retrieval capabilities by adding Rich PPTX visual artifact retrieval, enhancing RAG agent retrieval and multimodal vector search. Implemented API improvements and applied code quality fixes. The work lays groundwork for deeper knowledge extraction from complex PPTX materials and supports enhanced agent-based workflows across v1 and React-based agents with vector search.
2 Commits • 1 Features
Apr 1, 2026April 2026 performance summary for ThalesGroup/fred focused on delivering richer multimodal retrieval capabilities by adding Rich PPTX visual artifact retrieval, enhancing RAG agent retrieval and multimodal vector search. Implemented API improvements and applied code quality fixes. The work lays groundwork for deeper knowledge extraction from complex PPTX materials and supports enhanced agent-based workflows across v1 and React-based agents with vector search.
April 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JavaScriptPythonTypeScript
Technical Skills
API developmentPythonReactbackend developmentdata processingfrontend developmentmachine learning
Repositories Contributed To
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