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

📝 Editable Code Sandbox

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate
# Description: Production-ready starter boilerplate for building micro-SaaS applications
#               using FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension

from fastapi import FastAPI, Depends
from fastapi.responses import JSONResponse
from pydantic import BaseModel, Field
from typing import Optional
import psycopg2
from psycopg2 import Error
import uvicorn

# Initialize FastAPI application
app = FastAPI()

# Define Pydantic model for user data
class User(BaseModel):
    """User data model"""
    id: int = Field(..., description="User ID")
    name: str = Field(..., description="User name")
    email: str = Field(..., description="User email")

# Define Pydantic model for search query
class SearchQuery(BaseModel):
    """Search query data model"""
    query: str = Field(..., description="Search query")

# Establish PostgreSQL database connection
def get_db_connection():
    """Get PostgreSQL database connection"""
    try:
        connection = psycopg2.connect(
            dbname="mydatabase",
            user="myuser",
            password="mypassword",
            host="localhost

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