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+---
+title: "DMP ’25 Week 01 Update by Aman Chadha"
+excerpt: "Working on a RAG model for Music Blocks core files to enhance context-aware retrieval"
+category: "DEVELOPER NEWS"
+date: "2025-06-09"
+slug: "dmp-25-aman-week01"
+author: "Aman Chadha"
+description: "DMP '25 Contributor working on retrieval-augmented generation for Music Blocks"
+tags: "dmp25,musicblocks,rag,week01"
+image: "assets/Images/c4gt_DMP.png"
+---
+
+# Week 01 Progress Report by Aman Chadha
+
+**Project:** [JS Internationalization with AI Translation Support](https://github.com/sugarlabs/musicblocks/pull/4459)  
+
+**Mentors:** [Walter Bender](https://github.com/walterbender)
+
+**Reporting Period:** 2025-06-02 - 2025-06-08
+
+---
+
+## Goals for This Week
+
+- Develop a Retrieval-Augmented Generation (RAG) model using the core files of Music Blocks to provide context-aware responses.
+- Collect and parse .po files, extracting msgid and msgstr pairs along with comments showing usage in source files.
+- Use AST parsing (with Babel) to gather metadata chunks from source files to improve retrieval relevance.
+
+---
+
+## This Week’s Achievements
+
+1. **RAG Model Development**  
+   - Started working on building a RAG model focused on the core Music Blocks files. This aims to give the model context about what Music Blocks is and how it functions, improving answer relevance.
+   
+2. **Metadata Extraction from .po Files**  
+   - Successfully collected msgid and msgstr pairs from translation files.
+   - Parsed comments above the translations to identify which files use each msgstr.
+   
+3. **AST Parsing and Chunking**  
+   - Used Babel to parse Music Blocks source files and extract relevant code chunks.
+   - Stored these chunks with their associated metadata to enable better context retrieval during RAG.
+
+---
+
+## Challenges & How I Overcame Them
+
+- **Challenge:** Parsing complex .po files with varied comment styles and ensuring correct association of usage metadata.  
+  **Solution:** Created robust parsing scripts to handle different comment formats and verified chunk associations manually on sample files.
+
+- **Challenge:** Extracting meaningful code chunks via AST parsing while maintaining useful granularity.  
+  **Solution:** Experimented with different AST traversal strategies and filters to optimize chunk size for retrieval.
+
+---
+
+## Key Learnings
+
+- Gained deeper understanding of the internals of Music Blocks core files and their translation system.
+- Improved skills with Babel AST parsing and metadata extraction techniques.
+- Learned the importance of detailed metadata in enhancing RAG model retrieval accuracy.
+
+---
+
+## Next Week’s Roadmap
+
+- Build a demo to showcase the RAG model's ability to answer Music Blocks-related queries with context from core files.
+- Begin integrating metadata-enriched .po file chunks into the RAG database for improved translation string retrieval.
+- Optimize chunking and metadata tagging strategy based on initial demo feedback.
+
+---
+
+## Resources & References
+
+- **Music Blocks Repository:** [github.com/your-org/musicblocks](https://github.com/your-org/musicblocks)  
+- **Babel AST Docs:** https://babeljs.io/docs/en/babel-parser  
+- **RAG Model Concepts:** https://arxiv.org/abs/2005.11401  
+
+---
+
+## Acknowledgments
+
+Thanks to my mentors and the DMP community for their guidance and support throughout this work.
+
+---
+
+## Connect with Me
+
+- GitHub: [@aman-chadha](https://github.com/ac-mmi)  
+- Gmail: [aman.chadha.mmi@gmail.com](mailto:aman.chadha.mmi@gmail.com)  
+
+---