[Bengaluru] Anand - RAG-to-MCP Submission - #44
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- rag_server.py: sentence-aware chunking, ChromaDB retrieval, grounded answers enforcing agents.md rules (400-token chunks, citation, 0.6 threshold refusal, single-document answers) - classifier.py: rule-based complaint classification per agents.md enforcement - Fill in agents.md and skills.md for both use cases - Add generated results_*.csv outputs
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Hi there, participant! Thanks for joining our RAG-to-MCP Workshop! We're reviewing your PR for the 3 Use Cases (UC-0A, UC-RAG, UC-MCP). Once your submission is validated and merged, you'll be awarded your completion badge! Next Steps:
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Name: Anand
City / Group: Bengaluru
Branch: participant/anand-bng