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.claude/commands/rag-query.md

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+---
+description: Query the RAG system for relevant code and documentation
+---
+
+# RAG Query Command
+
+Query the local RAG (Retrieval-Augmented Generation) system to find relevant code and documentation.
+
+## Usage
+
+The user is asking you to query the RAG system. Use the MCP server to perform the query.
+
+**User Query**: {{args}}
+
+## Instructions
+
+1. Parse the user's query from the arguments
+2. Use the RAG system via HTTP request to the MCP server at http://127.0.0.1:8765
+3. Execute a POST request to `/rag/query` with the query
+4. Format and display the results to the user
+
+## Implementation
+
+```python
+import httpx
+import json
+
+query = "{{args}}"
+
+if not query or query == "{{args}}":
+    print("Usage: /rag-query <your query>")
+    print("Example: /rag-query how does authentication work?")
+else:
+    try:
+        response = httpx.post(
+            "http://127.0.0.1:8765/rag/query",
+            json={"query": query},
+            timeout=30.0
+        )
+
+        if response.status_code == 200:
+            result = response.json()
+
+            if result.get("success"):
+                results_list = result.get("results", [])
+
+                print(f"\n[?] Found {len(results_list)} relevant results:\n")
+
+                for i, item in enumerate(results_list[:5], 1):
+                    metadata = item.get("metadata", {})
+                    file_path = metadata.get("file_path", "unknown")
+                    score = 1 - item.get("distance", 1)
+
+                    print(f"{i}. {file_path} (relevance: {score:.2%})")
+                    print(f"   {item.get('text', '')[:150]}...")
+                    print()
+            else:
+                print(f"Error: {result.get('error', 'Unknown error')}")
+        else:
+            print(f"MCP Server error: {response.status_code}")
+
+    except Exception as e:
+        print(f"Error querying RAG system: {e}")
+        print("Make sure the MCP server is running.")
+```
+
+Execute this Python code to query the RAG system and display results.