fix: provided OpenAI API key and fixed docker-compose configuration to enable RAG service

.env.example

@@ -2,6 +2,9 @@
 # Deepseek API Key (for LLM in alfred)
 DEEPSEEK_API_KEY=
 
+# - ChatGPT/Open API
+OPENAI_API_KEY=
+
 OLLAMA_BASE_URL=
 OLLAMA_MODEL=
 
@@ -25,8 +28,8 @@ QBITTORRENT_PASSWORD=adminadmin
 DEBUG_LOGGING=false
 DEBUG_CONSOLE=false
 
-# Required security keys
-JWT_SECRET=
-JWT_REFRESH_SECRET=
-CREDS_KEY=
+# Postgres (RAG)
+POSTGRES_DB=
+POSTGRES_USER=
+POSTGRES_PASSWORD=
 CREDS_IV=

docker-compose.yaml

@@ -79,7 +79,11 @@ services:
     container_name: alfred-rag
     image: ghcr.io/danny-avila/librechat-rag-api-dev-lite:${RAG_VERSION}
     restart: unless-stopped
+    env_file:
+      - .env
     environment:
+      - DB_HOST=vectordb
+      - DB_PORT=5432
       - RAG_PORT=${RAG_PORT:-8000}
     ports:
       - "${RAG_PORT:-8000}:${RAG_PORT:-8000}"
@@ -89,10 +93,8 @@ services:
     container_name: alfred-vectordb
     image: pgvector/pgvector:0.8.0-pg16-bookworm
     restart: unless-stopped
-    environment:
-      - POSTGRES_DB=${VECTOR_DB_NAME:-vectordb}
-      - POSTGRES_USER=${VECTOR_DB_USER:-postgres}
-      - POSTGRES_PASSWORD=${VECTOR_DB_PASSWORD:-postgres}
+    env_file:
+      - .env
     ports:
       - "${VECTOR_DB_PORT:-5432}:5432"
     volumes: