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-0.1.1.tar.gz (5.5 kB view details)

Uploaded Source

File details

Details for the file pro-search-0.1.1.tar.gz.

File metadata

  • Download URL: pro-search-0.1.1.tar.gz
  • Upload date:
  • Size: 5.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.11.4

File hashes

Hashes for pro-search-0.1.1.tar.gz
Algorithm Hash digest
SHA256 ee2a145a394f3befcce4f4718f2420ddd5f2542d02919cc15cd8f4be545de792
MD5 ede8d0ad56367833c16126073e2f5eab
BLAKE2b-256 b98f6129f87094968c0d39dd942603f06090d48817e7fd267d932b559015d5ea

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