⚡ Live Sandbox: AI Dev Tool: PostgreSQL Vector Search (5fmh)

📝 Editable Code Sandbox

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# Description: A production-ready FastAPI boilerplate with Pydantic v2 and PostgreSQL Vector Search Extension for building micro-SaaS applications.

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

# Initialize FastAPI app
app = FastAPI()

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

class SearchQuery(BaseModel):
    query: str

# PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "mydb"
POSTGRES_USER = "myuser"
POSTGRES_PASSWORD = "mypassword"

# Establish PostgreSQL connection
try:
    conn = psycopg2.connect(
        host=POSTGRES_HOST,
        database=POSTGRES_DB,
        user=POSTGRES_USER,
        password=POSTGRES_PASSWORD
    )
    cur = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
except Error as e:
    print(f"Error connecting to PostgreSQL: {e}")

🖥️ Interactive Execution Terminal Console

⚡ Ready! Click ▶️ Run Code to execute code in browser terminal...