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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# =======================================================
# A production-ready starter boilerplate for building micro-SaaS applications
# using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

from fastapi import FastAPI, Depends
from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
from pydantic import BaseModel, Field
from typing import List, Optional
from psycopg2 import connect
from psycopg2.extras import DictCursor
from psycopg2.errors import InvalidTextRepresentation

# Initialize the FastAPI application
app = FastAPI()

# Define the security scheme for authentication
security = HTTPBearer()

# Define the PostgreSQL database connection settings
DB_HOST = "localhost"
DB_NAME = "mydatabase"
DB_USER = "myuser"
DB_PASSWORD = "mypassword"

# Define the PostgreSQL Vector Search Extension connection settings
VECTOR_SEARCH_HOST = "localhost"
VECTOR_SEARCH_PORT = 5432
VECTOR_SEARCH_DB = "mydatabase"
VECTOR_SEARCH_USER = "myuser"
VECTOR_SEARCH_PASSWORD = "mypassword"

# Define the Pydantic models for data validation
class User(BaseModel):
    id: int = Field(..., description="User ID")
    name

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