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```python
# AI Dev Tool: Edge AI-Powered Vector Search API
# Description: A production-ready API integration wrapper for PostgreSQL Vector Search Extension
# Category: API Integration Wrapper

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
from psycopg2 import extras
import json

# Define the FastAPI application
app = FastAPI(
    title="Edge AI-Powered Vector Search API",
    description="A production-ready API integration wrapper for PostgreSQL Vector Search Extension",
    version="1.0.0"
)

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

# Define the VectorSearchRequest model
class VectorSearchRequest(BaseModel):
    """Vector Search Request model"""
    query_vector: List[float]
    limit: Optional[int] = 10

# Define the VectorSearchResponse model
class VectorSearchResponse(BaseModel):
    """Vector Search Response model"""
    results: List[dict]

# Establish a connection to the PostgreSQL database
def get_postgres_connection():

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