first push

backend/app/services/embedding_service.py

@@ -0,0 +1,40 @@
+import httpx
+from app.core.config import settings
+
+
+async def build_embedding(text: str) -> dict:
+    """
+    Génère un vecteur d'embedding en interrogeant le conteneur local llama.cpp
+    """
+    url = f"{settings.embedding_base_url}/embeddings"
+    
+    headers = {
+        "Content-Type": "application/json"
+    }
+    
+    payload = {
+        "input": text,
+        "model": settings.embedding_model
+    }
+    
+    async with httpx.AsyncClient(timeout=30.0) as client:
+        try:
+            response = await client.post(url, json=payload, headers=headers)
+            response.raise_for_status()
+            
+            data = response.json()
+            vector = data["data"][0]["embedding"]
+            
+            return {
+                "model": settings.embedding_model,
+                "text_length": len(text),
+                "vector": vector,
+            }
+            
+        except httpx.HTTPError as e:
+            print(f"Erreur lors de la génération de l'embedding : {e}")
+            return {
+                "model": settings.embedding_model,
+                "text_length": len(text),
+                "vector": [],
+            }