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.claude/commands/rag-index.md

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+---
+description: Index or re-index the codebase for RAG search
+---
+
+# RAG Index Command
+
+Index or re-index the codebase to update the RAG system's knowledge.
+
+## Usage
+
+The user wants to index the codebase. This will:
+- Scan all code files in the repository
+- Generate embeddings for code chunks
+- Store them in the local vector database
+
+## Instructions
+
+1. Trigger the indexing process via the MCP server
+2. Show progress to the user
+3. Display completion status
+
+## Implementation
+
+```python
+import httpx
+import json
+
+print("[#] Starting codebase indexing...")
+print("This may take a few minutes depending on codebase size.\n")
+
+try:
+    response = httpx.post(
+        "http://127.0.0.1:8765/execute",
+        json={
+            "category": "rag",
+            "tool_name": "rag_index",
+            "parameters": {"root_path": "."}
+        },
+        timeout=300.0  # 5 minutes timeout
+    )
+
+    if response.status_code == 200:
+        result = response.json()
+
+        if result.get("success"):
+            status = result.get("status", {})
+
+            print("[OK] Indexing complete!\n")
+            print(f"[=] Status:")
+            print(f"   Indexed chunks: {status.get('indexed_chunks', 0)}")
+            print(f"   Embedding model: {status.get('embedding_model', 'unknown')}")
+            print(f"   Status: {status.get('status', 'unknown')}")
+        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 indexing codebase: {e}")
+    print("Make sure the MCP server is running.")
+```
+
+Execute this Python code to index the codebase.