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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =================================================================================================
from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker, Session
from sqlalchemy.exc import SQLAlchemyError
from psycopg2.extras import Json

# Initialize FastAPI App
app = FastAPI(
    title="FastAPI Pydantic v2 Micro-SaaS Boilerplate",
    description="A high-demand production-ready developer code asset",
    version="1.0.0"
)

# Define PostgreSQL Database Connection
SQLALCHEMY_DATABASE_URL = "postgresql://user:password@localhost/dbname"
engine = create_engine(SQLALCHEMY_DATABASE_URL)
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Define Base Model for Database Tables
Base = declarative_base()

# Define User Model
class User(Base):
    __tablename__ = "users"
    id = Column(Integer, primary_key=True, index=True)
    name = Column(String

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