⚡ Live Sandbox: AI Dev Tool: Pgvectorsearch An index that

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```python
# AI Dev Tool: PgVectorSearch FastAPI Pydantic Micro-SaaS Template
# =====================================================================
# This is a production-ready developer code asset for building fast and scalable micro-SaaS applications.
# It combines the power of PgVectorSearch, FastAPI, and Pydantic to provide a robust and efficient search functionality.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import pgvector
from pgvector import VectorSearch
from pgvector.search import SearchConfig
from pgvector.utils import create_index

# Define the FastAPI application
app = FastAPI()

# Define the Pydantic model for search queries
class SearchQuery(BaseModel):
    """Search query model"""
    query: str
    limit: Optional[int] = 10

# Define the Pydantic model for search results
class SearchResult(BaseModel):
    """Search result model"""
    id: int
    vector: List[float]
    score: float

# Initialize the PgVectorSearch index
index_name = "my_index"
search_config = SearchConfig(index_name, dim=128)
vector_search = VectorSearch(search_config)

# Create the index if it doesn't exist
create_index(index

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