⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search (ito5)

📝 Editable Code Sandbox

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =============================================================================================
# This is a high-demand, production-ready developer code asset for building micro-SaaS applications.
# It combines the power of FastAPI, Pydantic v2, and 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
import psycopg2
import json

# Initialize the FastAPI application
app = FastAPI()

# Define the PostgreSQL database connection parameters
POSTGRES_USER = "your_username"
POSTGRES_PASSWORD = "your_password"
POSTGRES_HOST = "your_host"
POSTGRES_PORT = "your_port"
POSTGRES_DB = "your_database"

# Create a PostgreSQL database engine
engine = create_engine(f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{POSTGRES_HOST}:{POSTGRES_PORT}/{POSTGRES_DB}")

# Create a configured "Session" class
SessionLocal = sessionmaker

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