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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
from typing import List
import psycopg2
from psycopg2 import Error
from psycopg2.extras import DictCursor

# Initialize FastAPI app
app = FastAPI()

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

class VectorSearchQuery(BaseModel):
    query: str

# Establish PostgreSQL database connection
def get_db_connection():
    try:
        connection = psycopg2.connect(
            dbname="mydatabase",
            user="myuser",
            password="mypassword",
            host="localhost",
            port="5432"
        )
        return connection
    except Error as e:
        print(f"Error connecting to database: {e}")
        return None

# Define route for vector search
@app.post("/vector-search")
async def vector_search(query: VectorSearchQuery, db_connection: psycopg2 = Depends(get_db_connection)):
    if db_connection is None:
        return JSONResponse(content={"error": "

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