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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with 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 extras
from psycopg2.errors import DuplicateTable

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

# Define the PostgreSQL vector search extension
VECTOR_SEARCH_EXTENSION = "pg_trgm"

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

# Define the Pydantic model for the search query
class Search

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