๐ง AI-Powered Search ReinventionMay 27, 2026โ
Tests passing
Semantic Search Explorer
A Python CLI tool to interact with AI-powered search engines, allowing developers to test and explore semantic search capabilities with custom queries. The tool outputs structured results, metadata, and ranking insights.
What It Does
- Perform semantic search using AI-enhanced APIs.
- Display search results in a formatted table with metadata like relevance scores and sources.
- Debug and experiment with query variations.
Installation
- Python 3.7+
requestsrichpytest
Usage
python semantic_search_explorer.py --query "AI advancements" --api_key YOUR_API_KEYSource Code
import argparse
import requests
from rich.console import Console
from rich.table import Table
def perform_search(query, api_key, api_url):
"""
Perform a semantic search using the provided API.
Args:
query (str): The search query.
api_key (str): The API key for authentication.
api_url (str): The API endpoint URL.
Returns:
list: A list of search results with metadata.
"""
headers = {"Authorization": f"Bearer {api_key}"}
params = {"query": query}
try:
response = requests.get(api_url, headers=headers, params=params, timeout=10)
response.raise_for_status()
return response.json().get("results", [])
except requests.exceptions.RequestException as e:
raise RuntimeError(f"Failed to perform search: {e}")
def display_results(results):
"""
Display search results in a formatted table.
Args:
results (list): A list of search results with metadata.
"""
console = Console()
table = Table(title="Semantic Search Results")
table.add_column("Rank", style="cyan", justify="center")
table.add_column("Title", style="green")
table.add_column("Source", style="magenta")
table.add_column("Relevance Score", style="yellow", justify="center")
for idx, result in enumerate(results, start=1):
table.add_row(
str(idx),
result.get("title", "N/A"),
result.get("source", "N/A"),
str(result.get("relevance_score", "N/A"))
)
console.print(table)
def main():
parser = argparse.ArgumentParser(description="Semantic Search Explorer")
parser.add_argument("--query", required=True, help="Search query to execute")
parser.add_argument("--api_key", required=True, help="API key for authentication")
parser.add_argument("--api_url", default="https://api.example.com/search", help="API endpoint URL")
args = parser.parse_args()
try:
results = perform_search(args.query, args.api_key, args.api_url)
if results:
display_results(results)
else:
print("No results found.")
except RuntimeError as e:
print(e)
if __name__ == "__main__":
main()Community
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Details
- Tool Name
- semantic_search_explorer
- Category
- AI-Powered Search Reinvention
- Generated
- May 27, 2026
- Tests
- Passing โ
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-05-27/semantic_search_explorer cd generated_tools/2026-05-27/semantic_search_explorer pip install -r requirements.txt 2>/dev/null || true python semantic_search_explorer.py