rag improvements 2

backend/app/modules/rag/__init__.py

@@ -0,0 +1,6 @@
+"""
+RAG (Retrieval-Augmented Generation) module for Confidential Empire platform
+"""
+from .main import RAGModule
+
+__all__ = ["RAGModule"]

backend/app/modules/rag/module.yaml

@@ -0,0 +1,82 @@
+name: rag
+version: 1.0.0
+description: "Document search, retrieval, and vector storage"
+author: "Enclava Team"
+category: "ai"
+
+# Module lifecycle
+enabled: true
+auto_start: true
+dependencies: []
+optional_dependencies:
+  - cache
+
+# Module capabilities
+provides:
+  - "document_storage"
+  - "semantic_search"
+  - "vector_embeddings"
+  - "document_processing"
+
+consumes:
+  - "qdrant_connection"
+  - "llm_embeddings"
+  - "document_parsing"
+
+# API endpoints
+endpoints:
+  - path: "/rag/collections"
+    method: "GET"
+    description: "List document collections"
+    
+  - path: "/rag/upload"
+    method: "POST"
+    description: "Upload and process documents"
+    
+  - path: "/rag/search"
+    method: "POST"
+    description: "Semantic search in documents"
+    
+  - path: "/rag/collections/{collection_id}/documents"
+    method: "GET"
+    description: "List documents in collection"
+
+# UI Configuration
+ui_config:
+  icon: "search"
+  color: "#8B5CF6"
+  category: "AI & ML"
+  
+  forms:
+    - name: "collection_config"
+      title: "Collection Settings"
+      fields: ["name", "description", "embedding_model"]
+      
+    - name: "search_config"
+      title: "Search Configuration"
+      fields: ["top_k", "similarity_threshold", "rerank_enabled"]
+
+# Permissions
+permissions:
+  - name: "rag.create"
+    description: "Create document collections"
+    
+  - name: "rag.upload"
+    description: "Upload documents to collections"
+    
+  - name: "rag.search"
+    description: "Search document collections"
+    
+  - name: "rag.manage"
+    description: "Manage all collections (admin)"
+
+# Health checks
+health_checks:
+  - name: "qdrant_connectivity"
+    description: "Check Qdrant vector database connection"
+    
+  - name: "embeddings_service"
+    description: "Check LLM embeddings service"
+    
+  - name: "document_processing"
+    description: "Check document parsing capabilities"