⚡ Live Sandbox: AI Dev Tool: The Query Transformation Pipeline

📝 Editable Code Sandbox

```python
# AI Dev Tool: FastAPI Pydantic v2 PostgreSQL Vector Search Extension
# Description: A production-ready starter boilerplate for building micro-SaaS applications
#              with FastAPI, Pydantic v2, and PostgreSQL Vector Search Extension.

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

# Define the FastAPI application
app = FastAPI()

# Define the PostgreSQL database connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "mydatabase"
POSTGRES_USER = "myuser"
POSTGRES_PASSWORD = "mypassword"

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

# Define the Pydantic model for the search result
class SearchResult(BaseModel):
    id: int
    title: str
    description: str

# Establish a connection to the PostgreSQL database
def get_db_connection():
    try:
        return psycopg2.connect(
            host=POSTGRES_HOST,
            database=POSTGRES_DB,

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