⚡ Live Sandbox: AI Dev Tool: Muse Metas personal

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```python
# AI Dev Tool: MuseMeta Vector Search API
# =======================================
# A production-ready API integration wrapper for Meta's personal AI agent, Muse,
# utilizing PostgreSQL Vector Search Extension for efficient similarity searches.

import os
import psycopg2
from psycopg2 import extras
from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional

# Define the MuseMetaVectorSearchAPI class
class MuseMetaVectorSearchAPI:
    def __init__(self, db_host: str, db_name: str, db_user: str, db_password: str):
        """
        Initialize the API with PostgreSQL database connection parameters.

:param db_host: Database host
        :param db_name: Database name
        :param db_user: Database user
        :param db_password: Database password
        """
        self.db_host = db_host
        self.db_name = db_name
        self.db_user = db_user
        self.db_password = db_password
        self.conn = None

def connect_to_db(self):
        """
        Establish a connection to the PostgreSQL database.
        """
        try:
            self.conn = psycopg2.connect(
                host=self.db

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