AI Dev Tool: PostgreSQL Vector Search (qcc4)

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Preview Code

```python
# AI Dev Tool: Turbocharged FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: A high-performance, production-ready FastAPI boilerplate with Pydantic v2 and PostgreSQL Vector Search Extension

from fastapi import FastAPI, Depends, HTTPException
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm
from pydantic import BaseModel, EmailStr
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
from sqlalchemy.exc import IntegrityError
from typing import List, Optional
from psycopg2.extras import Json
import uvicorn
import os

# PostgreSQL Vector Search Extension
POSTGRES_USER = os.environ.get("POSTGRES_USER")
POSTGRES_PASSWORD = os.environ.get("POSTGRES_PASSWORD")
POSTGRES_HOST = os.environ.get("POSTGRES_HOST")
POSTGRES_PORT = os.environ.get("POSTGRES_PORT")
POSTGRES_DB = os.environ.get("POSTGRES_DB")

SQLALCHEMY_DATABASE_URL = f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}"

# ... full runnable version includes tests & documentation