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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
# =================================================================================================
# This is a production-ready developer code asset for building high-performance 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
from typing import List, Optional
import psycopg2
from psycopg2 import Error
from psycopg2.extras import DictCursor
import logging

# Initialize the FastAPI application
app = FastAPI(title="FastAPI Pydantic v2 Micro-SaaS Boilerplate",
              description="A production-ready developer code asset for building high-performance Micro-SaaS applications",
              version="1.0.0")

# Define the Pydantic model for the user data
class UserData(BaseModel):
    id: int
    name: str
    email: str

# Define the Pydantic model for the search query
class SearchQuery(BaseModel):
    query: str

# Initialize the PostgreSQL database connection
def get_db_connection():
    try:
        connection = psycopg2.connect(
            dbname="mydatabase",
            user

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