.

backend/src/config/env.ts

@@ -8,7 +8,6 @@ interface EnvConfig {
     PORT: number;
     DATABASE_URL: string;
     LLM_BACKEND_URL: string;
-    OLLAMA_EMBEDDINGS_URL: string | null;
     EMBEDDING_MODEL: string;
 }
 
@@ -34,7 +33,6 @@ function validateEnv(): EnvConfig {
         PORT: port,
         DATABASE_URL: databaseUrl,
         LLM_BACKEND_URL: process.env.LLM_BACKEND_URL || 'http://localhost:8000',
-        OLLAMA_EMBEDDINGS_URL: process.env.OLLAMA_EMBEDDINGS_URL || null,
         EMBEDDING_MODEL: process.env.EMBEDDING_MODEL || 'nomic-embed-text',
     };
 }

backend/src/services/document_rag.service.ts

@@ -64,9 +64,9 @@ export async function indexDocument(params: {
         await pool.query('DELETE FROM document_chunks WHERE document_id = $1', [params.documentId]);
         await pool.query(
             `UPDATE documents
-             SET status = 'processing', total_chunks = $2, processing_progress = 0.00, error_message = NULL, summary = $3, content_text = $4
+             SET status = 'processing', total_chunks = $2, processing_progress = 0.00, error_message = NULL, summary = $3
              WHERE id = $1`,
-            [params.documentId, totalChunks, summary, text]
+            [params.documentId, totalChunks, summary]
         );
 
         let processed = 0;
@@ -136,9 +136,9 @@ export async function indexDocument(params: {
 
         await pool.query(
             `UPDATE documents
-             SET status = 'ready', total_chunks = $2, indexed_at = NOW(), error_message = NULL, processing_progress = 1.00, summary = $3, content_text = $4
+             SET status = 'ready', total_chunks = $2, indexed_at = NOW(), error_message = NULL, processing_progress = 1.00, summary = $3
              WHERE id = $1`,
-            [params.documentId, totalChunks, summary, text]
+            [params.documentId, totalChunks, summary]
         );
     } catch (e) {
         await markDocumentFailed(params.documentId, 'Doküman işlenirken hata oluştu.');

backend/src/services/llm_backend.service.ts

@@ -5,10 +5,6 @@ interface EmbeddingResponse {
     embeddings: number[][];
 }
 
-interface OllamaEmbeddingResponse {
-    embedding: number[];
-}
-
 interface RagAnswerResponse {
     answer: string;
 }
@@ -18,41 +14,28 @@ interface ChatResponse {
 }
 
 export async function embedTexts(texts: string[]): Promise<number[][]> {
-    if (!config.OLLAMA_EMBEDDINGS_URL) {
-        throw new Error('Ollama embeddings endpoint is not configured');
-    }
-
-    const embeddings: number[][] = [];
-    for (const text of texts) {
-        let lastError: Error | null = null;
-        for (let attempt = 1; attempt <= 3; attempt += 1) {
-            try {
-                const response = await fetch(config.OLLAMA_EMBEDDINGS_URL, {
-                    method: 'POST',
-                    headers: { 'Content-Type': 'application/json' },
-                    body: JSON.stringify({ model: config.EMBEDDING_MODEL, prompt: text }),
-                });
-                if (!response.ok) {
-                    const body = await response.text();
-                    throw new Error(`Ollama embedding error: ${response.status} ${body}`);
-                }
-                const data = (await response.json()) as OllamaEmbeddingResponse;
-                embeddings.push(data.embedding);
-                lastError = null;
-                break;
-            } catch (error) {
-                lastError = error instanceof Error ? error : new Error('Ollama embedding failed');
-                if (attempt < 3) {
-                    await new Promise((resolve) => setTimeout(resolve, 500 * attempt));
-                }
+    let lastError: Error | null = null;
+    for (let attempt = 1; attempt <= 3; attempt += 1) {
+        try {
+            const response = await fetch(`${config.LLM_BACKEND_URL}/rag/embeddings`, {
+                method: 'POST',
+                headers: { 'Content-Type': 'application/json' },
+                body: JSON.stringify({ texts }),
+            });
+            if (!response.ok) {
+                const body = await response.text();
+                throw new Error(`Embedding error: ${response.status} ${body}`);
+            }
+            const data = (await response.json()) as EmbeddingResponse;
+            return data.embeddings;
+        } catch (error) {
+            lastError = error instanceof Error ? error : new Error('Embedding request failed');
+            if (attempt < 3) {
+                await new Promise((resolve) => setTimeout(resolve, 500 * attempt));
             }
-        }
-        if (lastError) {
-            throw lastError;
         }
     }
-
-    return embeddings;
+    throw lastError!;
 }
 
 export async function answerWithContext(question: string, context: string): Promise<string> {

lib/features/auth/data/api_auth_repository.dart

@@ -100,10 +100,10 @@ class ApiAuthRepository implements AuthRepository {
       print('✅ Current user: ${user['email']}');
 
       return AuthUser(
-        id: user['id'] as String,
-        email: user['email'] as String,
-        displayName: user['displayName'] as String? ?? 'User',
-        isGuest: user['isGuest'] as bool? ?? false,
+        id: (user['id'] as String?) ?? '',
+        email: (user['email'] as String?) ?? '',
+        displayName: (user['displayName'] as String?) ?? 'User',
+        isGuest: (user['isGuest'] as bool?) ?? false,
       );
     } catch (e) {
       print('❌ Get current user failed: $e');

lib/features/home/presentation/widgets/procedural_tree.dart

@@ -140,7 +140,6 @@ class _TreePainter extends CustomPainter {
 
     // Recursive branches
     if (currentDepth > 0) {
-      const int branches = 2; // Split into 2
       final double spreadAngle =
           0.6 + (currentLevel * 0.04).clamp(0.0, 0.4); // Wider spread
 

lib/shared/data/api_document_repository.dart

@@ -15,12 +15,13 @@ class ApiDocumentRepository {
   Future<List<Document>> getDocuments() async {
     try {
       final response = await _dio.get<Map<String, dynamic>>('/documents');
+      print('📄 getDocuments response: ${response.data}');
       final data = response.data!['documents'] as List<dynamic>;
       return data
           .map((json) => Document.fromJson(json as Map<String, dynamic>))
           .toList();
     } catch (e) {
-      // Return empty list on error for now or rethrow
+      print('❌ getDocuments error: $e');
       rethrow;
     }
   }
@@ -39,10 +40,13 @@ class ApiDocumentRepository {
         data: formData,
       );
 
+      print('📄 Upload response: ${response.data}');
+
       return Document.fromJson(
         response.data!['document'] as Map<String, dynamic>,
       );
     } catch (e) {
+      print('❌ Upload error: $e');
       rethrow;
     }
   }
@@ -63,10 +67,13 @@ class ApiDocumentRepository {
         data: formData,
       );
 
+      print('📄 Upload bytes response: ${response.data}');
+
       return Document.fromJson(
         response.data!['document'] as Map<String, dynamic>,
       );
     } catch (e) {
+      print('❌ Upload bytes error: $e');
       rethrow;
     }
   }

lib/shared/models/models.dart

@@ -150,12 +150,18 @@ class Document extends Equatable {
     final progressRaw = json['processing_progress'];
     final progress = progressRaw is num ? progressRaw.toDouble() : 0.0;
 
+    DateTime? uploadedAt;
+    final uploadedAtRaw = json['uploaded_at'];
+    if (uploadedAtRaw is String) {
+      uploadedAt = DateTime.tryParse(uploadedAtRaw);
+    }
+
     return Document(
       id: json['id'] as String?,
-      title: json['title'] as String,
-      summary: json['summary'] as String? ?? '',
+      title: (json['title'] as String?) ?? 'Untitled',
+      summary: (json['summary'] as String?) ?? '',
       status: status,
-      uploadedAt: DateTime.parse(json['uploaded_at'] as String),
+      uploadedAt: uploadedAt,
       processingProgress: progress,
     );
   }

lib/shared/services/api_service.dart

@@ -39,8 +39,9 @@ class ApiService {
     _dio = Dio(
       BaseOptions(
         baseUrl: baseUrl,
-        connectTimeout: const Duration(seconds: 15),
-        receiveTimeout: const Duration(seconds: 15),
+        connectTimeout: const Duration(seconds: 30),
+        receiveTimeout: const Duration(seconds: 60),
+        sendTimeout: const Duration(seconds: 60),
       ),
     );
     print('🔌 ApiService Initialized');

llm_backend/app/api/chat.py

@@ -27,7 +27,3 @@ def chat(req: ChatRequest):
     except Exception as e:
         logger.error(f"Chat error: {str(e)}")
         raise HTTPException(status_code=500, detail="LLM error")
-
-    except Exception as e:
-        logger.error(str(e))
-        raise HTTPException(status_code=500, detail="LLM error")

scripts/dev_start.sh

@@ -57,8 +57,6 @@ start_process "llm_backend" "cd '$ROOT/llm_backend' && \
   uvicorn app.main:app --host 0.0.0.0 --port 8000"
 start_process "backend" "cd '$ROOT/backend' && \
   export NODE_ENV='development' && \
-  export OLLAMA_EMBEDDINGS_URL='http://127.0.0.1:11434/api/embeddings' && \
-  export EMBEDDING_MODEL='nomic-embed-text' && \
   npm run start"
 
 echo "All services started. Logs: $LOG_DIR"