⚡ Live Sandbox: AI Dev Tool: Rust WebAssembly Edge (mxc9)

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```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 extras
import json

# Initialize FastAPI application
app = FastAPI()

# Define Pydantic models for request and response validation
class VectorSearchQuery(BaseModel):
    """Vector search query model"""
    query: str
    limit: int = 10

class VectorSearchResult(BaseModel):
    """Vector search result model"""
    id: int
    vector: List[float]
    score: float

# Define PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_PORT = 5432
POSTGRES_DB = "vector_search_db"
POSTGRES_USER = "vector_search_user"
POSTGRES_PASSWORD = "vector_search_password"

# Establish PostgreSQL connection
def get_postgres_connection():
    """Get PostgreSQL connection"""
    try:
        return psycopg2.connect(
            host=POSTGRES_HOST,
            port=POSTGRES_PORT,
            database=POSTGRES_DB,
            user=POSTGRES_USER,
            password=POSTGRES_PASSWORD

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