Skip to main content

An advanced web search package combining AI and web scraping

Project description

ProSearch

A powerful web search and content synthesis tool that leverages GROQ AI to provide comprehensive, context-rich answers to your queries.

Features

Advanced web searching with filtering of sponsored content Intelligent query refinement Content scraping and summarization Multi-source context synthesis

Installation

pip install pro-search

Usage

Basic usage example:

from pro_search import ProSearch

# Initialize with your GROQ API key
searcher = ProSearch(api_key="your_groq_api_key")

# Run a search query
query = "What are the latest developments in quantum computing?"
result = searcher.run(query)

print(result)

Configuration

The ProSearch class accepts the following parameters: api_key: Your GROQ API key (required) num_results: Number of search results to process (default: 5) num_retries: Number of retry attempts for failed searches (default: 5)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pro-search-0.2.0.tar.gz (7.9 kB view details)

Uploaded Source

File details

Details for the file pro-search-0.2.0.tar.gz.

File metadata

  • Download URL: pro-search-0.2.0.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.4

File hashes

Hashes for pro-search-0.2.0.tar.gz
Algorithm Hash digest
SHA256 9518c3aeba274fd95aef3ee79bfa78c2900c80ea638105a27cfa8f8d0d6fb3c3
MD5 99adace0f8d073d8da7a5971242a1f9a
BLAKE2b-256 e98ecd42a055f0e4e6932537da2908de0bbc2d80dea9fc9df4e07400f381a291

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page