Fix for inaccessible .db files

Dockerfile

@@ -24,10 +24,13 @@ RUN uv sync --frozen --no-cache
 # Copy the application code
 COPY backend/ ./backend/
 COPY data/ ./data/
-COPY data/processed/vector_db/* /tmp/
 
-# Create static directory if it doesn't exist
-RUN mkdir -p backend/api/static
+# Create writable directories for Milvus lock files
+RUN mkdir -p backend/api/static /tmp/vector_db && \
+    chmod 777 /tmp/vector_db
+
+# Copy vector database files to writable location
+COPY data/processed/vector_db/* /tmp/vector_db/
 
 # Expose the port
 EXPOSE 8000

backend/conf/config.yaml

@@ -35,16 +35,6 @@ local:
     pdf_extractor:
         extension: ".pdf"
 
-    gemini_generative_model:
-        model_name: "gemini-2.5-flash"
-        api_key: "{GOOGLE_GEMINI_API_KEY}"
-        backup_api_key: "{GOOGLE_GEMINI_BACKUP_API_KEY}"
-        temperature: 0.0
-
-    openai_generative_model:
-        api_key: "{OPENAI_API_KEY}"
-        temperature: 0.0
-
     galileo_platform:
         protect_stage_name: "deutsche-bank_rfp-rag_protect-local-stage"
         logstream_name: "misc"
@@ -60,7 +50,7 @@ docker:
         chunk_overlap: 50
 
     vector_database:
-        db_path: "/app/data/processed/vector_db/"
+        db_path: "/tmp/vector_db/"
         dimensions: 768
 
     embedding_model:
@@ -70,22 +60,7 @@ docker:
     pdf_extractor:
         extension: ".pdf"
 
-    gemini_generative_model:
-        model_name: "gemini-2.0-flash"
-        api_key: "{GOOGLE_GEMINI_API_KEY}"
-        backup_api_key: "{GOOGLE_GEMINI_BACKUP_API_KEY}"
-        temperature: 0.0
-
-    openai_generative_model:
-        model_name: "gpt-4.1-nano-2025-04-14"
-        api_key: "{OPENAI_API_KEY}"
-        temperature: 0.0
-
     galileo_platform:
-        # evaluate_project_name: "lseg-qa-evaluate"
-        # observe_project_name: "lseq-qa-observe"
-        # observe_project_id: "185841b9-fe41-4fe3-ad75-c5217f7d554d"
-        # protect_project_name: "protect-test-project"
         protect_stage_name: "deutsche-bank_rfp-rag_protect-local-stage"
         project_name: "deutsche-bank"
         logstream_name: "rfp_rag"