⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search (6fnr)

📝 Editable Code Sandbox

```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

# Define the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate",
              description="A production-ready boilerplate for building micro-SaaS applications",
              version="1.0.0")

# Define the PostgreSQL database connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "mydatabase"
POSTGRES_USER = "myuser"
POSTGRES_PASSWORD = "mypassword"

# Define the Pydantic model for the data
class Item(BaseModel):
    id: int
    name: str
    description: Optional[str] = None

# Define the PostgreSQL vector search extension model
class VectorSearchModel(BaseModel):
    id: int
    vector: List[float]

# Create a connection to the PostgreSQL database
def create_connection():
    connection = None
    try:
        connection = psycopg2.connect(

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