⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (k00m)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =================================================================================================

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
from psycopg2 import Error
from psycopg2.extras import DictCursor
import uvicorn

# Initialize FastAPI App
app = FastAPI()

# Define Pydantic Models
class User(BaseModel):
    id: int
    name: str
    email: str

class SearchQuery(BaseModel):
    query: str

# PostgreSQL Database Connection Settings
DB_HOST = "localhost"
DB_NAME = "mydatabase"
DB_USER = "myuser"
DB_PASSWORD = "mypassword"

# Create PostgreSQL Database Connection
def create_db_connection():
    try:
        return psycopg2.connect(
            host=DB_HOST,
            database=DB_NAME,
            user=DB_USER,
            password=DB_PASSWORD,
            cursor_factory=DictCursor
        )
    except Error as e:
        print(f"Error creating database connection: {e}")
        return None

# Define API Endpoints
@app.get("/users/", response_model=List[User])
async def read_users():
    """

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