new file: .dockerignore

new file:   .env.example
	new file:   Dockerfile
	new file:   app.py
	new file:   blueprints/__init__.py
	new file:   blueprints/auth.py
	new file:   blueprints/chat.py
	new file:   blueprints/context.py
	new file:   blueprints/documents.py
	new file:   blueprints/main.py
	new file:   config.py
	new file:   docker-compose.yml
	new file:   models/__init__.py
	new file:   models/chat_session.py
	new file:   models/document.py
	new file:   models/user.py
	new file:   requirements.txt
	new file:   services/__init__.py
	new file:   services/document_parser.py
	new file:   services/llm_service.py
	new file:   services/rag_service.py
	new file:   services/url_scraper.py
	new file:   static/css/style.css
	new file:   static/js/chat.js
	new file:   static/js/inline_chat.js
	new file:   static/js/main.js
	new file:   templates/base.html
	new file:   templates/document_view.html
	new file:   templates/index.html
	new file:   templates/login.html
	new file:   templates/register.html

config.py

@@ -0,0 +1,34 @@
+import os
+from dotenv import load_dotenv
+
+load_dotenv()
+
+BASE_DIR = os.path.abspath(os.path.dirname(__file__))
+
+
+class Config:
+    SECRET_KEY = os.environ.get("SECRET_KEY", "change-me-in-production")
+    SQLALCHEMY_DATABASE_URI = os.environ.get(
+        "DATABASE_URI", f"sqlite:///{os.path.join(BASE_DIR, 'app.db')}"
+    )
+    SQLALCHEMY_TRACK_MODIFICATIONS = False
+
+    UPLOAD_FOLDER = os.environ.get("UPLOAD_FOLDER", os.path.join(BASE_DIR, "uploads"))
+    VECTORDB_PATH = os.environ.get("VECTORDB_PATH", os.path.join(BASE_DIR, "vectordb"))
+    TRANSFORMERS_CACHE = os.environ.get(
+        "TRANSFORMERS_CACHE", os.path.join(BASE_DIR, ".cache")
+    )
+
+    ALLOWED_EXTENSIONS = {"pdf", "txt", "docx", "md"}
+    MAX_CONTENT_LENGTH = 50 * 1024 * 1024  # 50 MB
+
+    # LLM Provider: "lmstudio" or "openai"
+    AI_PROVIDER = os.environ.get("AI_PROVIDER", "lmstudio")
+    LM_STUDIO_URL = os.environ.get("LM_STUDIO_URL", "http://localhost:1234")
+    LM_STUDIO_MODEL = os.environ.get("LM_STUDIO_MODEL", "local-model")
+    OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
+    OPENAI_MODEL = os.environ.get("OPENAI_MODEL", "gpt-4o")
+
+    RAG_TOP_K = int(os.environ.get("RAG_TOP_K", "5"))
+    RAG_CHUNK_SIZE = int(os.environ.get("RAG_CHUNK_SIZE", "500"))
+    RAG_CHUNK_OVERLAP = int(os.environ.get("RAG_CHUNK_OVERLAP", "50"))