⚡ Live Playground: AI Dev Tool: Iceberg Collapses and Flips

```python
# AI Dev Tool: FastAPI PostgreSQL Vector Search Extension Boilerplate
"""
This is a production-ready boilerplate for building scalable and efficient vector search applications
using FastAPI and PostgreSQL. It provides a robust foundation for developers to integrate vector search
functionality into their applications.
"""

from fastapi import FastAPI, HTTPException
from fastapi.responses import JSONResponse
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
import psycopg2.extras
import numpy as np

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

# Define the FastAPI application
app = FastAPI()

# Define the vector search model
class VectorSearchModel(BaseModel):
    """
    This model represents a vector search query.
    """
    query_vector: List[float]
    top_k: Optional[int] = 10

# Define the PostgreSQL vector search extension
class PostgreSQLVectorSearchExtension:
    """
    This class provides a PostgreSQL vector search extension using the pg_trgm extension.
    """
    def __init__(self, host
⚡ Live Code Sandbox: AI Dev Tool: Iceberg Collapses and Flips
