[Jalandhar] Gopal Mondal - Rag to Mcp submission#8
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I-mgopal wants to merge 3 commits intonasscomAI:masterfrom
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[Jalandhar] Gopal Mondal - Rag to Mcp submission#8I-mgopal wants to merge 3 commits intonasscomAI:masterfrom
I-mgopal wants to merge 3 commits intonasscomAI:masterfrom
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…classifier.py with full R.I.C.E enforcement for taxonomy, severity keywords, and justification
…efusals → Optimized threshold and refined prompt grounding to enforce multiple role citations
…hresholds → Added resource caching and tuned similarity threshold to 0.30
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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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mcp_server.py (The Portal)
Standardized the server to use JSON-RPC 2.0. It now correctly tells AI agents what tools are available and routes their questions to the RAG database.
rag_server.py (The Engine)
Optimized with resource caching (singleton). This prevents the heavy AI model from reloading on every question, making the server fast enough to pass verification.
test_client.py (The Auditor)
Increased the timeout to 30s. This ensures the tests don't crash just because the computer needs a few extra seconds to process complex AI retrievals.
agents.md (The Rules)
Defined the R.I.C.E framework for the agent. This sets the strict operational boundary (HR, IT, Finance) and ensures the agent never halucinates about out-of-scope topics.
skills.md (The Capabilities)
Outlined the core Skillset of the server. It clearly defines how to handle policy queries and how to return structured errors when a question is out-of-scope.
Threshold Tuning (The Filter)
Adjusted the similarity threshold to 0.30 to balance between finding the right policy answers and blocking irrelevant "Budget" or "Weather" questions.