async conflict

backend/backend_api.py

@@ -112,7 +112,7 @@ async def ask_question_stream(request: QuestionRequest):
         raise HTTPException(status_code=500, detail=f"Error processing streaming question: {str(e)}")
 
 @app.post("/api/upload")
-async def upload_document(file: UploadFile = File(..., max_length=100*1024*1024)):
+async def upload_document(file: UploadFile = File(...)):
     """
     Upload a document to the RAG system
     """
@@ -120,6 +120,17 @@ async def upload_document(file: UploadFile = File(..., max_length=100*1024*1024)
         if not rag_system:
             raise HTTPException(status_code=500, detail="RAG system not initialized")
         
+        # Validate file size (100MB limit)
+        content = await file.read()
+        file_size_mb = len(content) / (1024 * 1024)
+        max_size_mb = 100
+        
+        if file_size_mb > max_size_mb:
+            raise HTTPException(
+                status_code=413, 
+                detail=f"File too large ({file_size_mb:.1f}MB). Maximum size allowed is {max_size_mb}MB."
+            )
+        
         # Validate file type
         allowed_extensions = ['.pdf', '.docx', '.txt']
         file_extension = os.path.splitext(file.filename)[1].lower()
@@ -132,7 +143,6 @@ async def upload_document(file: UploadFile = File(..., max_length=100*1024*1024)
         
         # Create temporary file
         with tempfile.NamedTemporaryFile(delete=False, suffix=file_extension) as temp_file:
-            content = await file.read()
             temp_file.write(content)
             temp_file_path = temp_file.name
         

backend/vector_store.py

@@ -271,15 +271,15 @@ class VectorStore:
         try:
             collection_info = self.client.get_collection(self.collection_name)
             return {
-                "name": collection_info.config.name,
+                "name": self.collection_name,
                 "vector_size": collection_info.config.params.vectors.size,
-                "distance": collection_info.config.params.vectors.distance,
+                "distance": collection_info.config.params.vectors.distance.name,
                 "points_count": collection_info.points_count,
-                "indexed_only": collection_info.config.params.vectors.on_disk
+                "status": "ready"
             }
         except Exception as e:
             print(f"Error getting collection info: {e}")
-            return {}
+            return {"name": self.collection_name, "status": "error", "error": str(e)}
     
     async def verify_collection_health(self) -> bool:
         """Verify that the collection is healthy and accessible"""